From RPRAGHUPATHI@oavax.csuchico.edu Sun Mar 12 03:03:15 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sun, 12 Mar 95 03:03:11 -0600; AA28603 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sun, 12 Mar 95 03:03:08 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa20986; 12 Mar 95 1:32:33 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa20984; 12 Mar 95 1:14:43 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa03156; 12 Mar 95 1:14:11 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa06599; 11 Mar 95 15:27:22 EST Received: from oavax.csuchico.edu by CS.CMU.EDU id aa14206; 11 Mar 95 15:26:24 EST Received: from oavax.csuchico.edu by oavax.csuchico.edu (PMDF V4.2-13 #2) id <01HO0CWZ6B7M00KWRK@oavax.csuchico.edu>; Sat, 11 Mar 1995 12:27:49 PDT Date: Sat, 11 Mar 1995 12:27:48 -0700 (PDT) From: RPRAGHUPATHI@oavax.csuchico.edu Subject: call for papers - please circulate! To: PASE@IPS.ID.ETHZ.CH, IE-LIST@CS.UCL.AC.UK, CONNECTIONISTS@cs.cmu.edu Cc: ALIFE@COGNET.UCLA.EDU, GA-LIST@AIC.NRL.NAVY.MIL, COMP.AI@CS.UCL.AC.UK, SCI.ECON@CS.UCL.AC.UK Message-Id: <01HO0CWZ6KV800KWRK@oavax.csuchico.edu> X-Envelope-To: CONNECTIONISTS@CS.CMU.EDU X-Vms-To: PASE@IPS.ID.ETHZ.CH, IE-LIST@CS.UCL.AC.UK, CONNECTIONISTS@CS.CMU.EDU X-Vms-Cc: ALIFE@COGNET.UCLA.EDU, GA-LIST@AIC.NRL.NAVY.MIL, COMP.AI@CS.UCL.AC.UK, SCI.ECON@CS.UCL.AC.UK,RPRAGHUPATHI Mime-Version: 1.0 Content-Transfer-Encoding: 7BIT CALL FOR PAPERS "NEURAL NETWORKS IN BUSINESS" HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES - 29 JANUARY 3 - 6, 1996, MAUI, HAWAII Papers are invited for the minitrack on NEURAL NETWORKS IN BUSINESS as part of The Information Systems track at the Hawaii International Conference on System Sciences (HICSS). Researchers and practitioners doing work in neural network applications in the different functional areas of business such as marketing, production, HRM, software engineering, finance, accounting, health care, and law are invited to submit papers for consideration for this minitrack at HICSS. Papers must focus on applications in new areas, describe the methodology, lessons learnt, and future research issues. Comparisons of neural network performance to traditional models are also encouraged. The task modeled must be important and relevant to business situations, the data used real, and the implementation complete. Mini-track coordinators: W. "RP" Raghupathi California State University Department of Accounting and Management Information Systems Chico, CA 95929-011 Phone: (916) 898-4825 Fax: (916) 898-4584 E-mail: RPRAGHUPATHI@OAVAX.CSUCHICO.EDU and Shashi Shekhar University of Minnesota Computer Science Department 4-192 EE/CS Building 200 Union Street S.E. Minneapoli, MN 55455-0159 Phone: (612) 624-8307 Fax: (612) 625-0572 E-mail: shekhar@cs.umn.edu Instructions for submitting papers: 1. Submit 6 (six) copies of the full paper, consisting of 20-25 pages double-spaced including title page, abstract, references and diagrams directly to either of the minitrack coordinators. 2. Do not submit the paper to more than one minitrack. Paper should contain original material and not be previously published or currently submitted for consideration elsewhere. 3. Each paper must have a title page which includes the title, full name of all authors, and their complete addresses including affiliation(s), telephone numbers(s), and e-mail address(es). 4. The first page of the paper should include the title and a 300-word abstract. DEADLINES: MARCH 15, 1995: Abstracts may be submitted to minitrack coordinators (or track coordinators) for guidance and indication of appropriate content. Authors unfamiliar with HICSS or who wish additional guidance are encouraged to contact any coordinator to discuss potential papers. JUNE 1, 1995: Six (6) copies of the full papers must be submitted to the appropriate minitrack or track coordinators. AUG. 31, 1995: Notification of accepted papers mailed to authors. OCT. 1, 1995: Accepted manuscripts, camera-ready, sent to minitrack coordinators. One author from each paper must be registered by this time. NOV. 15, 1995: All other registrations must be received. Registration received after this deadline may not be accepted due to space limitations. Hotel reservations should also be made by this time. The "Neural Networks in Business" minitrack is part of the Information Systems Track. There are two other major tracks in the conference: software technology and Digital Documents. The Information Systems Track itself has several minitracks that focus on a variety of research topics in Collaboration Technology, Decision Support and Knowledge-Based Systems, and Organizational Systems and Technology. For more information contact: Jay F. Nunamaker, Jr. E-mail: nunamaker@bpa.arizona.edu (602) 621-4475 FAX: (602) 621-2433 Ralph H. Sprague, Jr. E-mail:sprague@uhunix.uhcc.hawaii.edu (808) 956-7082 FAX: (808) 956-9889 For more information on other tracks, please contact: Software Technology Track: Hesham El-Rewini E-mail: rewini@unocss.unomaha.edu Bruce D. Shriver E-mail: b.shriver@genesis2.com Digital Documents Track: M. Stuart Lynn E-mail: msylnn@cpa.org For more information on the conference, please contact the conference coordinator: Pamela Harrington E-mail: hicss@uhunix.uhcc.hawaii.edu (808) 956-7396 FAX: (808) 956-3766 From maggini@mcculloch.ing.unifi.it Wed Mar 15 01:04:40 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 15 Mar 95 01:04:36 -0600; AA13350 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 15 Mar 95 01:04:34 -0600 Received: by TELNET-1.SRV.CS.CMU.EDU id aa24885; 15 Mar 95 1:28:26 EST Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa24874; 15 Mar 95 1:23:55 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa24872; 15 Mar 95 1:08:06 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01891; 15 Mar 95 1:07:53 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa03524; 14 Mar 95 3:34:38 EST Received: from mcculloch.ing.unifi.it by CS.CMU.EDU id aa03916; 14 Mar 95 3:33:24 EST Received: from asr-ote.DSILAB1 by mcculloch.ing.unifi.it (4.1/SMI-4.0) id AA20548; Tue, 14 Mar 95 09:32:59 +0100 Date: Tue, 14 Mar 95 09:32:59 +0100 From: Marco Maggini Message-Id: <9503140832.AA20548@mcculloch.ing.unifi.it> To: Connectionists@cs.cmu.edu Subject: AI*IA 2nd Call for Papers Reply-To: giovanni@ingfi1.ing.unifi.it 2nd CALL FOR PAPERS AI*IA 95 Fourth Congress of the Italian Association for Artificial Intelligence Firenze, October 11-13, 1995 (Palazzo dei Congressi) IMPORTANT DATES ------------------------------ Deadline for submission April 10, 1995 Notification of acceptance June 11, 1995 Camera-ready copies due July 7, 1995 Congress October 11-13, 1995 THEME ----------- The Congress of the Italian Association for Artificial Intelligence is the most relevant national event in the field of Artificial Intelligence for both researchers interested in the methodological aspects and practitioners involved in applications. Papers will include both long and short presentations on substantial, original and previously unpublished research in all aspects of AI, including, but not limited to: - Automated Reasoning - Knowledge Representation - Architectures and Languages for AI - Machine Learning - Natural Language - Planning and Robotics - Qualitative Reasoning - Perception and Vision - Distributed Artificial Intelligence - Cognitive Modeling - Connectionist Models. PAPER SUBMISSION ------------------------ Five (5) copies of original papers not exceeding 5000 words (about 10 single spaced pages) MUST BE POSTMARKED ON OR BEFORE MONDAY APRIL 10, 1995 to: Prof. Giovanni Soda Dipartimento di Sistemi e Informatica Universita'di Firenze via S. Marta,3 50139 Firenze (Italy) E-mail: giovanni@ingfi1.ing.unifi.it Each copy of the paper must include a cover sheet, separate from the body of the paper, including: title of the paper, full name, postal addresses, phone number, fax numbers, e-mail adresses, if any, of all authors, an abstract of 100-200 words and a set of keywords giving the area/subarea of the paper and describing the topic of the paper. NO ELECTRONIC SUBMISSION WILL BE ACCEPTED. ATTENDANCE ----------------------- At least one author of the papers selected for oral and/or poster presentation must attend the Conference. GENERAL INFORMATION -------------------------------------- This CFP and the latest information regarding AI*IA95 can be found in the World Wide Web under http://www-dsi.ing.unifi.it/ai/aiia95 or obtained sending an e-mail to aiia95@ingfi1.ing.unifi.it. PROGRAM COMMITTEE ------------------------------------ Giovanni Soda (Universita' di Firenze) (Chair) Program Committee Members for the Scientific Track: --------------------------------------------------------------------------- Stefania BANDINI ( Universita' di Milano) Amedeo CAPPELLI (CNR - Pisa) Amedeo CESTA (CNR - Roma) Marco COLOMBETTI (Politecnico di Milano) Mauro DI MANZO (Universita' di Genova) Floriana ESPOSITO (Universita' di Bari) Massimo GALLANTI (CISE - Milano) Fausto GIUNCHIGLIA (Irst e Universita' di Trento) Marco GORI (Universita' di Firenze) Leonardo LESMO (Universita' di Torino) Daniele NARDI (Universita' di Roma) Enrico PAGELLO (Universita' di Padova) Vito ROBERTO (Universita' di Udine) Oliviero STOCK (IRST - Trento) Giuseppe TRAUTTEUR (Universita' di Napoli) Franco TURINI (Universita' di Pisa) Program Committee Members for the Application Track ------------------------------------------------------------------------------ Franco CANEPA (Imit - Novara) Giannetto LEVIZZARI (Centro Ricerche FIAT - Orbassano (TO)) Fabio MALABOCCHIA (Cselt - Torino) Fulvio MARCOZ (Alenia - Roma) Renato PETRIOLI (Fondazione Bordoni - Roma) Roberto SERRA (Ferruzzi Finanziaria - Ravenna) Lorenzo TOMADA (Agip - Milano) Organizing Committee Members ---------------------------------------------- Carlo BIAGIOLI (IDG - Firenze) Francesca CESARINI (Universita' di Firenze) Marco GORI (Universita' di Firenze) Elisabetta GRAZZINI(Universita' di Firenze) From ruppin@math.tau.ac.il Wed Mar 15 22:06:53 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 15 Mar 95 22:06:49 -0600; AA11807 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 15 Mar 95 22:06:46 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa24891; 15 Mar 95 1:30:50 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa24876; 15 Mar 95 1:08:57 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01900; 15 Mar 95 1:08:21 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa06473; 14 Mar 95 8:42:17 EST Received: from taurus.math.tau.ac.il by RI.CMU.EDU id aa19488; 14 Mar 95 8:40:50 EST Received: from virgo.math.tau.ac.il (ruppin@virgo.math.tau.ac.il [132.67.64.1]) by taurus.math.tau.ac.il (8.6.10/8.6.10) with ESMTP id PAA24205 for ; Tue, 14 Mar 1995 15:39:31 +0200 From: Eithan Rupin Received: (ruppin@localhost) by virgo.math.tau.ac.il (8.6.9/8.6.9) id PAA20225 for Connectionists@CS.CMU.EDU; Tue, 14 Mar 1995 15:39:30 +0200 Date: Tue, 14 Mar 1995 15:39:30 +0200 Message-Id: <199503141339.PAA20225@virgo.math.tau.ac.il> To: Connectionists@cs.cmu.edu Subject: Workshop on Modeling Brain Disorders NEURAL MODELING OF COGNITIVE AND BRAIN DISORDERS Workshop, June 8 - 10, 1995 Inn and Conference Center, University of Maryland, College Park, MD (located just north of Washington, DC) SPONSORS National Institute of Mental Health National Institute of Neurological Disorders and Stroke National Institute on Deafness and Other Communication Disorders National Institute on Aging Institute for Advanced Computer Studies, University of Maryland Dept. of Neurology, University of Maryland School of Medicine Center for Neural Basis of Cognition, Carnegie Mellon & Pittsburgh Universities Adams Super Center for Brain Studies, Tel Aviv University Center for Neural and Cognitive Sciences, University of Maryland The focus of this workshop will be on the lesioning of neural network models to study disorders in neurology, neuropsychology and psychiatry. The goals of the workshop are: to evaluate current achievements and the possibilities for further advancement; to examine methodological modeling issues, such as limitations of the networks currently employed, and the required computational properties of future models; and to make the material presented at the workshop available to the wider audience of researchers interested in studying neural models of brain disorders. A Proceedings consisting of the abstracts of presentations will be available at the meeting, and a book of contributed chapters based on the workshop is under consideration. Program Committee: Rita Berndt (Maryland), Barry Gordon (Johns Hopkins), Michael Hasselmo (Harvard), Ralph Hoffman (Yale), Joanne Luciano (Boston), Jay McClelland (Carnegie Mellon), Al Nigrin (American), David Plaut (Carnegie Mellon), James Reggia (Maryland), Eytan Ruppin (Tel-Aviv), and Stanley Tuhrim (Mount Sinai). Travel Fellowships: Funding has been requested for a few fellowships to offset travel costs of students, postdocs, and residents. To be considered for any such travel support that becomes available, please send your name, address, phone number, fax number, email address, status (student/postdoc/resident) and proof of status (copy of current student ID, letter from faculty advisor, etc.) to reach J. Reggia at the address below by Wednesday, April 19, 1995. Either indicate the name of the oral/poster presentation of which you are a co-author, or state in two or three sentences why you wish to attend. Registration and Hotel Reservations: Please use attached forms. Registration and reservations prior to May 15 are strongly recommended. Questions? Direct questions about workshop registration or administration to Cecilia Kullman, UMIACS, University of Maryland, College Park, MD 20742 USA; Tel.: (301)405-6722; Fax: (301)314-9658; email: cecilia@umiacs.umd.edu For questions about hotel reservations, please contact the hotel directly as indicated on the reservation form. For questions about the content of the workshop, please contact either Eytan Ruppin via email at ruppin@math.tau.ac.il, or James Reggia, Dept. of Computer Science, A.V. Williams Bldg., University of Maryland, College Park MD 20742 USA; Tel.: (301) 405-2686; Fax: (301)405-6707; email: reggia@cs.umd.edu PROGRAM Each workshop session will be focused on specific disorders and composed of four invited presentations followed by a critical commentary and a general discussion. ----- Thursday, June 8 8:00 AM: Registration Desk Opens 9:00 AM: Welcome: NIH Representative 9:05 AM: Introduction: James Reggia, University of Maryland 9:30 AM: Alzheimer's Disease and Memory Disorders Chair and Discussant: Steven Small (University of Pittsburgh) James McClelland (Carnegie Mellon University), with B. McNaughton and R. O'Reilly - Complementary learning systems in the hippocampus and neocortex Michael Hasselmo (Harvard University) - A computational theory of Alzheimer's disease as a breakdown in cortical learning dynamics David Horn (Tel-Aviv University, Israel), with N. Levy and E. Ruppin - Neural modeling of memory deterioration in Alzheimer's disease Martha Farah (University of Pennsylvania), with L. Tippett - Semantic knowledge impairments in Alzheimer's disease: insights from connectionist modeling 12:30 PM: Lunch Break 2:00 PM: Epilepsy Chair and Discussant: Michael Rogawski (National Institutes of Health) Roger Traub (IBM Watson), with J. Jeffreys - Unifying principles in epileptic after-discharges in vitro John Rinzel (National Institutes of Health) - Modeling network rhythmogenesis of epilepsy using reduced Hodgkin-Huxley neurons William Lytton (University of Wisconsin) - Toward rational pharmacotherapeutics Mayank Mehta (University of Arizona), with C. Dasgupta and G. Ullal - A neural network model for kindling of focal epilepsy 5:00 PM: Break (Put up posters) 5:30 PM: Reception and Poster Presentations ----- Friday, June 9 9:00 AM: Stroke and Functional Effects of Focal Lesions Chair and Discussant: Barry Gordon (Johns Hopkins University) John Pearson (David Sarnoff Research Center) - Plasticity in the organization of adult somatosensory cortex: a computer simulation based on neuronal group selection James Reggia (University of Maryland), with S. Armentrout, S. Goodall, Y. Chen, and E. Ruppin - Modeling post-stroke cortical map reorganization Manfred Spitzer (University of Heidelberg, Germany) - A neuronal network model of phantom limbs Eytan Ruppin (Tel-Aviv University, Israel), with J. Reggia - Patterns of damage in associative memory models and multi-infarct dementia Noon: Lunch Break 1:30 PM: Aphasia and Acquired Dyslexia Chair and Discussant: Rita Berndt (University of Maryland) Gary Dell (University of Illinois), with M. Schwartz, N. Martin, E. Saffran and D. Gagnon - Lesioning a connectionist model of lexical retrieval to simulate naming errors in aphasia Max Coltheart (Macquarie University, Australia), with R. Langdon and M. Haller - Simulation of acquired dyslexias by the DRC model, a computational model of visual word recognition and reading aloud Karalyn Patterson (MRC, Applied Psychology Unit, Cambridge, England), with D. Plaut, J. McClelland, M. Seidenberg and J. Hodges - Connections and disconnections: a connectionist account of surface dyslexia David Plaut (Carnegie Mellon University) - Connectionist modeling of the breakdown and recovery of reading via meaning 4:30 PM: Dinner Break ----- Saturday, June 10 9:00 AM: Schizophrenia, Frontal and Affective Disorders Chair and Discussant: Jonathan Cohen (Carnegie Mellon University \& University of Pittsburgh) Ralph Hoffman (Yale University) - Modeling positive symptoms of schizophrenia using attractor and backpropagation networks David Servan-Schreiber (University of Pittsburgh), with J. Cohen - Cognitive deficits in schizophrenia: modeling neuromodulation of prefrontal cortex Dan Levine (University of Texas at Arlington) - Functional deficits of frontal lobe lesions Joanne Luciano (Boston University), with M. Negishi, M. Cohen, and J. Samson - A dynamic neural model of cognitive and brain disorders Noon: Lunch Break 1:30 PM: Commentary: James McClelland (Carnegie Mellon University) 2:00 PM: General Discussion A brief commentary will be followed by a general discussion of where we are and where we want to go from here. Among the issues to be considered are the successes and limitations of current models of neurological, neuropsychological and psychiatric disorders. What common methods have been identified? How can models of this sort be validated, and at what ``level of detail" should they be formulated? What topics seem amenable to future neural modeling, and what are barriers to further progress in this field? Finally, feedback on the workshop format and content will be solicited, and the interest and usefulness of holding similar workshops or more formal conferences in the future will be assessed. 4:30 PM: Adjournment POSTER PRESENTATIONS Thursday, June 8, 5:30 PM T.S. Braver, J.D. Cohen and D. Servan-Schreiber. A Model of Normal and Schizophrenic Performance in a Task Involving Working Memory and Inhibition. Carnegie Mellon University and University of Pittsburgh, USA. J.L Contreras-Vidal, H.L. Teulings and G.E. Stelmach. A Neural Model of Spatiotemporal Neurotransmitter Dynamics in Parkinson's Disease: Dopamine Depletion and Lesion Studies. Arizona State University, USA. J.T. Devlin, L.M. Gonnerman, E.S. Andersen and M.S. Seidenberg. Modeling Double Dissociation using Progressive, Widespread Damage. University of Southern California, USA. T.M. Gale, R.J. Frank, D.J. Done and S.P. Hunt. Modeling Conceptual Disruption in Dementia of Alzheimer Type. University of Hertfordshire, England. P. Gupta. Phonological Representation, Word Learning, and Verbal Short-Term Memory: A Neural and Computational Model. Carnegie Mellon University, USA. B. Horwitz, A.R. McIntosh, J.V. Haxby, D. Golomb, M.B. Schapiro, S.I. Rapoport and C.L. Grady. Systems-Level Network Analysis of Cortical Visual Pathways Mapped by Positron Emission Tomography (PET) in Dementia of the Alzheimer Type. National Institute on Aging, USA. E.A. Klein and J.C. Wu. Neural Modeling of Striatal and Limbic Structures in Major Depressive Illness Using PET. University of California at Irvine, USA. J.P. Levy. Semantic Representations in Connectionist Models: The Use of Text Corpus Statistics. University of Edinburgh, UK. K.A. Mayall and G.W. Humphreys. A Connectionist Model of Pure Alexia and Case Mixing Effects. University of Birmingham, England. B.F. O'Donnell, M.E. Karapelou, D. Pedini and R.W. McCarley. Visual Pattern Classification and Recognition in Normal and Schizophrenic Subjects: An Adaptive Resonance Theory Simulation Study. Harvard University and Boston University, USA. R.L. Ownby. A Computational Model of Stroke-related Hemineglect: Preliminary Development. University of Miami, USA. D.V. Reynolds, H.A. Getty and G. Atwell. Object-Oriented Computer Models of Brain Disorders Based on Functional Neuroanatomy. Henry Ford Hospital, USA, and University of Windsor, Canada. R. Shilcock and P. Cairns. Connectionist Modelling of Visuospatial Unilateral Neglect. University of Edinburgh, UK. R. Shilcock, M.L. Kelly and K. Loughran. Evidence for a Connectionist Model of Visuospatial Neglect based on Foveal Splitting. University of Edinburgh, UK. S. Tsumoto and H. Tanaka. Computational Analysis of Acquired Dyslexia of Chinese Characters based on Neural Networks. Medical Research Institute, Tokyo Medical University, Japan. J. Sirosh and R. Miikkulainen. Reorganization of Lateral Interactions and Topographic Maps Following Cortical Lesions. University of Texas at Austin, USA. J.P. Sutton. Modeling Cortical Disorders using Nested Networks. Harvard University, USA. C.S. Whitney, R.S. Berndt and J.A. Reggia. A Computational Model of Single Word Oral Reading. University of Maryland, USA. J. Wright and K. Ahmad. The Simulation of Acquired Language Disorders Using Modular Connectionist Architectures. University of Surrey, UK. DIRECTIONS TO UNIVERSITY OF MARYLAND INN AND CONFERENCE CENTER >From National (DCA) Airport: Upon leaving the airport, follow the signs to Washington, D.C., using the George Washington Parkway. Stay on the parkway until you see the I-495 Rockville exit. Follow 495 until you get to the New Hampshire Avenue exit. Take the New Hampshire/Takoma Park exit. Stay on New Hampshire Avenue and make a left at the second light onto Adelphi Road. Drive approximately three miles on Adelphi Road through two traffic lights. At the third light, make a left turn onto University Boulevard and an immediate right into the parking garage. The building is marked University College Center of Adult Education. >From Baltimore-Washington International (BWI) Airport: Upon exiting the airport, follow signs for I-95 (toward Washington). I-95 will take you to 95 South. Follow 95 South approximately 30 miles. Stay on 95 South until you get to the Route 1 South/College Park exit (Exit 25B). Follow Route 1 to the first exit for the University of Maryland (Systems Administration). Take this exit (Route 193) which immediately becomes University Boulevard. Keep on University Boulevard and go through two traffic lights. At the third light (intersection of University Boulevard and Adelphi Road) make a U-turn and an immediate right into the parking garage. The building is marked University College Center of Adult Education. >From Dulles (IAD) Airport: Upon leaving the airport, follow the signs towards Washington, D.C., until you see the signs for I-495. Take the exit towards Rockville. Follow 495 until you get to the exit for New Hampshire Avenue. Take the New Hampshire/Takoma Park exit. Stay on New Hampshire Avenue and make a left at the second light onto Adelphi Road. Drive approximately three miles on Adelphi Road through two traffic lights. At the third light, make a left turn onto University Boulevard and an immediate right into the parking garage. The building is marked University College Center of Adult Education. ----------------------------cut here------------------------------- REGISTRATION FORM NEURAL MODELING WORKSHOP College Park, Md June 8-10, 1995 Name: ___________________________________________________ Affiliation: ________________________________________________ Address: _________________________________________________ _________________________________________________________ Telephone: ___________________________ Fax: ________________________________ e-mail: ______________________________ ___ $50 Conference fee before 5/15/95 ___ $65 Conference fee after 5/15/95 ___ $25 Student/postdoc/resident fee Amount Enclosed: $________________ MAKE CHECKS PAYABLE TO "UMIACS-Neural Modeling Workshop." Conference fee includes proceedings, coffee and reception. Payment must accompany the registration form. Checks must be in US dollars only and payable to "UMIACS-Neural Modeling Workshop." Please do not send cash. CREDIT CARDS WILL NOT BE ACCEPTED. Students/postdocs/residents must provide a copy of a student ID card or a letter from a faculty member for proof of status. RETURN BY MAY 15, 1995 TO: Cecilia Kullman UMIACS University of Maryland College Park, MD 20742, USA Tel.: (301) 405-6722. Fax: (301) 314-9658 e-mail: cecilia@umiacs.umd.edu ----------------------------- cut here ---------------------------- HOTEL RESERVATION FORM Neural Modeling Workshop The Inn and Conference Center University of Maryland University College Please reserve the following accommodations: ___ $69 Single Occupancy ___ $84 Double Occupancy Arrival Date: ____________ Departure Date: ____________ ___ Smoking ___ Non-smoking ___ Deposit check enclosed in the amount of $ ____________ ___ Credit card guarantee: Credit card number: _____________________________ Credit card expiration date: ____________ Signature: ________________________________ Name: ___________________________________________ Affiliation: _________________________________________ Address: __________________________________________ __________________________________________________ Telephone: _________________________________________ Fax: ______________________________________________ Rates are per room per night. All rates are subject to a 5% occupancy tax. All reservations must be accompanied by a deposit of one night's room rate plus tax, or a credit card guarantee. Guaranteed reservations will be held until 6:00 a.m. the following day. Reservations not canceled prior to 6:00 p.m. on the arrival day will be charged one night's room rate plus tax. SEND BY MAY 15, 1995 TO: Reservations The Inn and Conference Center University of Maryland University College College Park, MD 20742, USA Tel.: (301) 985-7300, Fax: (301) 985-7850 From movellan@cogsci.UCSD.EDU Wed Mar 15 22:06:54 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 15 Mar 95 22:06:50 -0600; AA11809 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 15 Mar 95 22:06:48 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ac24891; 15 Mar 95 1:33:58 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab24879; 15 Mar 95 1:10:36 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01912; 15 Mar 95 1:10:09 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa10958; 14 Mar 95 14:30:58 EST Received: from ucsd.edu by RI.CMU.EDU id aa20798; 14 Mar 95 14:30:01 EST Received: from cogsci.UCSD.EDU by mail.ucsd.edu; id LAA21200 sendmail 8.6.10/UCSD-2.2-sun via SMTP Tue, 14 Mar 1995 11:29:58 -0800 for Received: from ergo.UCSD.EDU by cogsci.UCSD.EDU (4.1/UCSDPSEUDO.4) id AA08721 for connectionists@cs.cmu.edu; Tue, 14 Mar 95 11:29:56 PST Received: by ergo.UCSD.EDU (5.0/UCSDPSEUDO.4) id AA18485 for movellan@cogsci; Tue, 14 Mar 1995 11:27:46 +0800 Date: Tue, 14 Mar 1995 11:27:46 +0800 From: Javier Movellan Message-Id: <9503141927.AA18485@ergo.UCSD.EDU> To: connectionists@cs.cmu.edu Subject: AV Database Content-Length: 363 Tulips1 is a small Audio-Visual database useful for simple projects on audio-visual speech recognition. I am making the data available through anonymous ftp on ergo.ucsd.edu at /pub/tulips1 Tulips1 includes 12 subjects saying the first four digits in English. Audio part is in .au format, visual part was digitized at 30fps and it is in .pgm format. -Javier From yves@netid.com Wed Mar 15 22:06:56 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 15 Mar 95 22:06:52 -0600; AA11818 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 15 Mar 95 22:06:50 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ad24891; 15 Mar 95 1:35:33 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa24882; 15 Mar 95 1:11:29 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01917; 15 Mar 95 1:10:43 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id an13503; 14 Mar 95 17:39:03 EST Received: from uucp13.netcom.com by RI.CMU.EDU id aa21437; 14 Mar 95 16:58:29 EST Received: from bogart.UUCP by netcomsv.netcom.com with UUCP (8.6.9/SMI-4.1) id NAA08194; Tue, 14 Mar 1995 13:37:39 -0800 Received: by netid.com (4.1/SMI-4.1) id AA01815; Tue, 14 Mar 95 13:01:26 PST Date: Tue, 14 Mar 95 13:01:26 PST From: Yves Chauvin Message-Id: <9503142101.AA01815@netid.com> To: connectionists@cs.cmu.edu Subject: Backpropagation volume available The volume: Back-propagation: Theory, Architectures, and Applications. (1995). Yves Chauvin and David E. Rumelhart (Eds.). Lawrence Erlbaum: Hillsdale, NJ. is now available. Table of Contents and ordering instructions are given below. Yves Chauvin ---------------------------------------------------------------------------- TABLE OF CONTENTS Backpropagation: The basic theory. D. E. Rumelhart, R. Durbin, R. Golden, Y. Chauvin Phoneme recognition using time-delay neural networks. A. Waibel, T. Hanazawa, G. E. Hinton, K. Shikano, K. J. Lang Automated aircraft flare and touchdown control using neural networks C. Schley, Y. Chauvin, V. Henkle Recurrent backpropagation networks. F. J. Pineda A focused backpropagation algorithm for temporal pattern recognition M. C. Mozer Nonlinear control with neural networks D. H. Nguyen, B. Widrow Forward models: Supervised learning with a distal teacher. M. J. Jordan, D. E. Rumelhart Backpropagation: Some comments and variations. S. J. Hanson Graded state machines: The representation of temporal contingencies in feedback networks. A. Cleeremans, D. Servan-Schreiber, J. L. McClelland Spatial coherence as an internal teacher for a neural network. S. Becker, G. E. Hinton Connectionist modeling and control of finite state systems given partial state information. J. R. Bachrach, M. C. Mozer Backpropagation and unsupervised learning in linear networks. P. Baldi, Y. Chauvin, K. Hornik Gradient-based learning algorithms for recurrent networks and their computational complexity. R. J. Williams, D. Zipser When neural networks play Sherlock Holmes P. Baldi, Y. Chauvin Gradient descent learning algorithms: A unified perspective P. Baldi ---------------------------------------------------------------------------- ORDERING INSTRUCTIONS To order: 1) call toll free: 1-800-9-BOOKS-9 (1-800-926-6579) 2) fax: 201-666-2394 3) email: orders@leahq.mhs.compuserve.com 4) send order to:Lawrence Erlbaum Associates,Inc 365 Broadway Hillsdale, NJ 07642 - Orders should include name of Editors, Title, and ISBN (0-8058-1258-X). -if paying by check include handling charge of $2.00 for first book and $.50 for each additional book. - if paying by credit card include: card name, ie: Visa, Mastercard, AMEX, Discover, include card number, expiration and signature if mailing credit card order. Price for the hard cover copy is $125 and $45 for the paper back. There is a 10% discount off orders that are prepaid (for individuals only). From maggini@mcculloch.ing.unifi.it Wed Mar 15 22:06:59 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 15 Mar 95 22:06:56 -0600; AA11827 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 15 Mar 95 22:06:54 -0600 Received: by TELNET-1.SRV.CS.CMU.EDU id aa25260; 15 Mar 95 6:17:18 EST Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab24874; 15 Mar 95 1:25:13 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab24872; 15 Mar 95 1:08:07 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01895; 15 Mar 95 1:07:59 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa04112; 14 Mar 95 4:49:24 EST Received: from mcculloch.ing.unifi.it by CS.CMU.EDU id aa03543; 14 Mar 95 2:48:25 EST Received: from asr-ote.DSILAB1 by mcculloch.ing.unifi.it (4.1/SMI-4.0) id AA20227; Tue, 14 Mar 95 08:48:21 +0100 Date: Tue, 14 Mar 95 08:48:21 +0100 From: Marco Maggini Message-Id: <9503140748.AA20227@mcculloch.ing.unifi.it> To: Connectionists@cs.cmu.edu Subject: Neurocomputing Journal (Special Issue) Reply-To: marco@mcculloch.ing.unifi.it ========================================================== CALL FOR PAPER Special Issue on Recurrent Networks for Sequence Processing in the Neurocomputing Journal (Elsevier) M. Gori, M. Mozer, A.C. Tsoi, and R.L. Watrous (Eds) ========================================================== I'm sorry to announce that, unlike what indicated in previous electronic delivering of this call for paper, following the Neurocomputing editorial policy, prospective authors shouldn't submit the manuscript to one of the Guest Editors, but to the Editor-in-Chief of the journal by March 30, 1995 at the following address: Dr. V. David Sanchez A. Neurocomputing - Editor-in-Chief German Aerospace Research Establishment DLR Oberpfaffenhofen Institute for Robotics and System Dynamics P.O. Box 1116 D-82230 Wessling, Germany e-mail: df1y@dv.op.dlr.de Manuscripts that have already been sent to one of the Guest Editors needn't to be sent also to the Editor-in-Chief. Marco Gori, Ph.D. Associate Professor of Computer Science, Dipartimento di Sistemi e Informatica Universita' di Firenze Via S. Marta, 3 - 50139 Firenze (Italy) voice: +39 (55) 479-6265 fax: +39 (55) 479-6363 email: marco@mcculloch.ing.unifi.it WWW: http://www-dsi.ing.unifi.it/~marco From jbower@bbb.caltech.edu Wed Mar 15 22:07:00 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 15 Mar 95 22:06:55 -0600; AA11824 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 15 Mar 95 22:06:52 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ae24891; 15 Mar 95 1:36:47 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab24882; 15 Mar 95 1:11:30 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01921; 15 Mar 95 1:11:08 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa13649; 14 Mar 95 17:47:03 EST Received: from smaug-gw.caltech.edu by CS.CMU.EDU id aa10121; 14 Mar 95 17:43:31 EST Received: from bbb.caltech.edu (smaug.bbb.caltech.edu) by gateway.bbb.caltech.edu (4.1/SMI-4.0) id AA05128; Tue, 14 Mar 95 14:51:20 PST Received: from [131.215.137.84] (gatorbox4.bbb.caltech.edu) by bbb.caltech.edu (4.1/SMI-4.1) id AA06832; Tue, 14 Mar 95 14:51:17 PST Date: Tue, 14 Mar 95 14:51:17 PST Message-Id: <9503142251.AA06832@bbb.caltech.edu> Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii" To: Connectionists@cs.cmu.edu From: jbower@bbb.caltech.edu Subject: Two Postdoctoral Positions TWO POSTDOCTORAL POSITIONS IN CEREBELLAR NETWORK MODELING in collaboration with: James M. Bower California Institute of Technology and Erik De Schutter University of Antwerp, Belgium Two postdoctoral positions are available immediately to participate in an ongoing collaboration on the use of realistic models of cerebellar cortical neurons and circuits to investigate cerebellar function. A major objective of this collaboration is to construct a morphologically and physiologically realistic network model of the cerebellar cortex of the rat. This network model is an extension of our previous efforts to construct realistic compartmental models of the principle cell types within cerebellum (see below). The model itself is being constructed in the GENESIS simulation system, and involves the use of parallel supercomputers as computational engines. The project is supported by the Human Frontier Science Organization. Successful candidates will link modeling and physiology efforts in Dr. Bower's laboratory at the California Institute of Technology with the simulation-based research of Dr. De Schutter at the University of Antwerp (Belgium). As the selected candidates will be expected to collaborate extensively with researchers at both sites, exchange visits and dual appointments will be provided. Candidates should have computational neuroscience experience, preferentially with compartmental models or with the GENESIS software. Candidates whose previous research combines both modeling and experimental physiology are particularly encouraged to apply. Positions are available for 2 to 3 years, starting immediately. Salary commensurate with experience. Funding is independent of nationality. Caltech is an equal opportunity employer. Women and those underrepresented in science are particularly encouraged to submit applications. Applicants must send curriculum vitae, a statement of why this research interests them, and three references to BOTH Prof. Bower and Prof. De Schutter, if possible by e-mail. Prof. J.M. Bower Prof. E. De Schutter Div. of Biology Born Bunge Foundation MC 216-76 Dept. of Medicine California Institute of Technology University of Antwerp - UIA Pasadena, CA 91125 B2610 Antwerp USA Belgium fax: +1-818-4490679 +32-3-8202541 e-mail: jbower@smaug.bbb.caltech.edu erik@kuifje.bbf.uia.ac.be Additional information: World Wide Web: http://www.bbb.caltech.edu/bowerlab http://bbf-www.uia.ac.be/ E. De Schutter and J.M. Bower: An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice. Journal of Neurophysiology 71: 375-400 (1994). E. De Schutter and J.M. Bower: An active membrane model of the cerebellar Purkinje cell: II. Simulation of synaptic responses. Journal of Neurophysiology 71: 401-419 (1994). E. De Schutter and J.M. Bower: Simulated responses of cerebellar Purkinje cell are independent of the dendritic location of granule cell synaptic inputs. Proceedings of the National Academy of Sciences USA 91: 4736-4740 (1994). From marks@u.washington.edu Thu Mar 16 06:14:26 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Thu, 16 Mar 95 06:14:24 -0600; AA27992 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Thu, 16 Mar 95 06:14:22 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab24891; 15 Mar 95 1:32:29 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa24879; 15 Mar 95 1:10:34 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01908; 15 Mar 95 1:09:45 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa09368; 14 Mar 95 12:56:24 EST Received: from carson.u.washington.edu by CS.CMU.EDU id aa07269; 14 Mar 95 12:55:50 EST Received: by carson.u.washington.edu (5.65+UW95.02/UW-NDC Revision: 2.32 ) id AA29898; Tue, 14 Mar 95 09:55:17 -0800 Date: Tue, 14 Mar 95 09:55:17 -0800 From: Robert Marks Message-Id: <9503141755.AA29898@carson.u.washington.edu> X-Sender: marks@carson.u.washington.edu To: Connectionists@cs.cmu.edu Subject: book announcement: Computational Intelligence Cc: marks@ee.washington.edu COMPUTATIONAL INTELLIGENCE: Imitating Life edited by Jacek M. Zurada, Robert J. Marks II and Charles J. Robinson IEEE Press 1994 Computational Intelligence has emerged from the fusion of the fields of neural networks, fuzzy systems and evolutionary computation. For the first time, contributions of world-renowned experts and pioneers in the field are collected into a single volume. The articles are grouped into the following categories: Computational Learning Theory, Approximate Reasoning, Evolutionary Computation, Biological Computation and Pattern Recognition, Intelligent Control, Hybrid Computational Intelligence, and Applications. The contributions were first presented in a special Plenary Symposium held in conjunction with the 1994 World Congress on Computational Intelligence. Key features include: An introduction by the editors...An extensive overview of computational intelligence by James Bezdek...Articles by such leading experts as: James Bezdek, Didier Dubois, R. Eckmiller, Lawrence J. Fogel, Anil K. Jain, James M. Keller, Reza Langari, Erkki Oja, Henri Prade, Steven K. Rogers, J. David Schaffer, Michio Sugeno, H.J. Zimmerman, and others...A special section on applicatins in the fields of biology, signal and image processing, robotics and control... An extensive subject index for easy reference, and more! Contributions from Bezdek, Oja, Berenji, Hecht-Nielsen, Dubois, Prade, DeJong, Fogel, Anil Jain, Anderson, Usui, Eckmiller, Sugeno, Bonissone, Fukuda, Schaffer, Zimmerman, Fogelman & Rogers IEEE Member Price: $40.00 List Price: $49.95 1994 Hardcover 448 pp ISBN 0-7803-1104-3 To order, call IEEE Customer Service: (800)678-IEEE or (908)981-1393 or fax (908)981-9667. IEEE Order No: PC04580 Request the Table of Contents from r.marks@ieee.org From P.McKevitt@dcs.shef.ac.uk Thu Mar 16 06:14:37 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Thu, 16 Mar 95 06:14:33 -0600; AA28000 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Thu, 16 Mar 95 06:14:31 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa26315; 15 Mar 95 19:08:13 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26297; 15 Mar 95 18:53:42 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa02530; 15 Mar 95 18:52:47 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa26808; 15 Mar 95 12:54:42 EST Received: from [143.167.12.1] by CS.CMU.EDU id aa20545; 15 Mar 95 12:47:50 EST Received: from tara.dcs.shef.ac.uk by dcs.shef.ac.uk (4.1/DAVE-1.0) with SMTP id AA18698; Wed, 15 Mar 95 17:39:01 GMT Date: Wed, 15 Mar 95 17:39:01 GMT From: Paul Mc Kevitt Message-Id: <9503151739.AA18698@dcs.shef.ac.uk> To: aaai@sumex-aim.stanford.edu, nick@zermatt.lcs.mit.edu, epsynet@uhupvm1.bitnet, connectionists@cs.cmu.edu, neuron-request@CATTELL.psych.upenn.edu, nlkr@dcs.shef.ac.uk, sigart@vaxa.isi.edu, shapiro@cs.buffalo.edu, powers@inf.enst.fr, hoebel@ai.rl.af.mil, welty@cs.rpi.edu Subject: IEE COLLOQ. LONDON (MAY): GROUNDING-REPRESENTATIONS (Sharkey/ Mc Kevitt) Cc: P.McKevitt@dcs.shef.ac.uk ============================================================================== GROUNDING REPRESENTATIONS GROUNDING REPRESENTATIONS GROUNDING REPRESENTATIONS ============================================================================== PROGRAMME AND CALL FOR PARTICIPATION GROUNDING REPRESENTATIONS: Integration of sensory information in Natural Language Processing, Artificial Intelligence and Neural Networks IEE COLLOQUIUM IEE Computing and Control Division [Professional group: C4 (Artificial Intelligence)] in association with: British Computer Society Specialist Group on Expert Systems and The Society for the Study of Artificial Intelligence and Simulation of Behaviour (SSAISB) MONDAY, MAY 15th, 1995 ********************** at the IEE Colloquium Savoy Place London, ENGLAND Chairs NOEL SHARKEY and PAUL MC KEVITT Department of Computer Science University of Sheffield, England WORKSHOP DESCRIPTION: Perhaps the most famous criticism of traditional Artificial Intelligence is that computer programs use symbols that are arbitrarily interpretable (see Searle, 1980 for the Chinese Room and Harnad, 1990 for the symbol grounding problem). We could, for example, use the word "apple" to mean anything from a "common fruit" to a "pig's nose". All the computer knows is the relationship between this symbol the others that we have given it. The question is, how is it possible to move from this notion of meaning, as the relationship between arbitrary symbols, to a notion of "intrinsic" meaning. In other words, how do we provide meaning by grounding computer symbols or representations in the physical world? The aim of this colloquium is to take a broad look at many of the important issues in relating machine intelligence to the world and to make accessible some of the most recent research in integrating information from different modalities. For example, why is it important to have symbol or representation grounding and what is the role of the emerging neural network technology? One approach has been to link intelligence to the sensory world through visual systems or robotic devices. Another approach is work on systems that integrate information from different modalities such as vision and language. Yet another approach has been to examine how the human brain relates sensory, motor and other information. It looks like we may be at long last getting a handle on the age old CHINESE ROOM and SYMBOL GROUNDING problems. Hence this colloquium has as its focus, "grounding representations. The colloquium will occur over one day and will focus on three themes: (1) Biology and development; (2) Computational models and (3) Symbol grounding. The target audience of this colloquium will include Engineers and Scientists in Neural Networks and Artificial Intelligence, Developmental Psychologists, Cognitive Scientists, Philosophers of mind, Biologists and all of those interested in the application of Artificial Intelligence to real world problems. PROGRAMME: Monday, May 15th, 1995 ************************ INTRODUCTION: 9.00 REGISTRATION + SUSTENANCE 10.00 `An introduction' NOEL SHARKEY (Department of Computer Science, University of Sheffield, ENGLAND) BIOLOGY: 10.30 `The neuronal mechanisms of language' VALENTINO BRAITENBERG (Max Plank Institute for Biological Cybernetics, Tuebingen, GERMANY) COMPUTATIONAL MODELS: 11.00 `Natural language and exploration of an information space' OLIVIERO STOCK (Istituto per la Ricerca Scientifica e Technologica, IRST) (Trento, ITALY) 11.30 `How visual salience influences natural language descriptions' WOLFGANG MAASS (Cognitive Science Programme) (Universitaet des Saarlandes, Saarbruecken, GERMANY) 12.00 DISCUSSION 12.30 LUNCH GROUNDING SYMBOLS: 2.00 `On grounding language with neural networks' GEORG DORFFNER (Austrian Institute for Artificial Intelligence, Vienna, AUSTRIA) 2.30 `Some observations on symbol-grounding from a combined symbolic/connectionist viewpoint' JOHN BARNDEN (Computing Research Laboratory, New Mexico, USA) & (Department of Computer Science, University of Reading, ENGLAND) 3.00 Sustenance Break 3.30 `Grounding symbols in sensorimotor categories with neural networks' STEVAN HARNAD (Department of Psychology, University of Southampton, ENGLAND) PANEL DISCUSSION AND QUESTIONS: 4.00 `Grounding representations' Chairs + Invited speakers S/IN S/IN: 4.30 `De brief/comments' PAUL MC KEVITT (Department of Computer Science, University of Sheffield, ENGLAND) 5.00 O/ICHE MHA/ITH ***************************** PUBLICATION: We intend to publish a book on this Colloquium Proceedings. ADDRESSES IEE CONTACT: Sarah Leong Groups Officer The Institution of Electrical Engineers (IEE) Savoy Place GB- WC2R OBL, London England, UK, EU. E-mail: SLeong@iee.org.uk (Sarah Leong) E-mail: mbarrett@iee.org.uk (Martin Barrett) E-mail: dpenrose@iee.org.uk (David Penrose) WWW: http://www.iee.org.uk Ftp: ftp.iee.org.uk FaX: +44 (0) 171-497-3633 Phone: +44 (0) 171-240-1871 (general) Phone: +44 (0) 171-344-8423 (direct) LOCATION: The Institution of Electrical Engineers (IEE) Savoy Place GB- WC2R OBL, London England, UK, EU. ACADEMIC CONTACT: Paul Mc Kevitt Department of Computer Science Regent Court 211 Portobello Street University of Sheffield GB- S1 4DP, Sheffield England, UK, EU. E-mail: p.mckevitt@dcs.shef.ac.uk WWW: http://www.dcs.shef.ac.uk/ WWW: http://www.shef.ac.uk/ Ftp: ftp.dcs.shef.ac.uk FaX: +44 (0) 114-278-0972 Phone: +44 (0) 114-282-5572 (Office) 282-5596 (Lab.) 282-5590 (Secretary) REGISTRATION: Registration forms are available from SARAH LEONG at the above address and should be sent to the following address: (It is NOT possible to register by E-mail.) Colloquium Bookings Institution of Electrical Engineers (IEE) PO Box 96 Stevenage GB- SG1 2SD Herts England, UK, EU. Fax: +44 (0) 143 874 2792 Receipt Enquiries: +44 (0) 143 876 7243 Registration enquiries: +44 (0) 171 240 1871 x.2206 PRE-REGISTRATION IS ADVISED ALTHOUGH YOU CAN REGISTER ON THE DAY OF THE EVENT. ________________________________________________________________________ R E G I S T R A T I O N COSTS ________________________________________________________________________ (ALL FIGURES INCLUDE VAT) IEE MEMBERS 44.00 NON-IEE MEMBERS 74.00 IEE MEMBERS (Retired, Unemployed, Students) FREE NON-IEE MEMBERS (Retired, Unemployed, Students) 22.00 LUNCH TICKET 4.70 MEMBERS: Members of the IEEIE, The British Computer Society and the Society for the Study of Artificial Intelligence and Simulation of Behaviour and Eurel Member Associations will be admitted at Members' rates. ============================================================================== GROUNDING REPRESENTATIONS GROUNDING REPRESENTATIONS GROUNDING REPRESENTATIONS ============================================================================== From chris@psychologie.uni-leipzig.de Thu Mar 16 06:14:46 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Thu, 16 Mar 95 06:14:30 -0600; AA27998 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Thu, 16 Mar 95 06:14:29 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa26293; 15 Mar 95 19:01:15 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26291; 15 Mar 95 18:51:04 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa02524; 15 Mar 95 18:50:53 EST Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa24432; 15 Mar 95 10:22:42 EST Received: from cocktail.psychologie.uni-leipzig.de by EDRC.CMU.EDU id aa22848; 15 Mar 95 10:21:24 EST Received: by psychologie.uni-leipzig.de (NX5.67d/NX3.0M_1) id AA03144; Wed, 15 Mar 95 16:19:02 +0100 Date: Wed, 15 Mar 95 16:19:02 +0100 From: Christian Kaernbach Message-Id: <9503151519.AA03144@psychologie.uni-leipzig.de> Received: by NeXT.Mailer (1.100) Received: by NeXT Mailer (1.100) To: connectionists@cs.cmu.edu Subject: Conference in Leipzig, June 29 - July 1 PHENOMENA AND ARCHITECTURES OF COGNITIVE DYNAMICS Symposium in Leipzig, Germany, June 29 to July 1 '95 Speakers: . Topics: A. Baddeley, Cambridge . E. Basar, Luebeck . A reference to Ernst Heinrich Weber I. Biederman, Los Angeles . (* 24.6.1795, 4 contributions) will H. Colonius, Oldenburg . be followed by two sessions, S. Dehaene, Paris . contrasting R. Eckhorn, Marburg, . * binding by temporal coherence P. Goldman-Rakic, New York . (and other topics related to M. W. Greenlee, Freiburg . synchronisation) J. L. van Hemmen, Muenchen . with G. Hitch, London . * seemingly serial processes in P. Koenig, La Jolla . working memory (Sternberg paradigm) M. Kubovy, Charlottesville . Both topics cover about the same R. van Lier, Nijmegen . temporal domain (25 ms to n00 ms). S. W. Link, Hamilton . Psychologists, psychiologists, and C. von der Malsburg, Bochum . connectionists will present to each I. V. Maltseva, Moskau . other their specific view point. R. Mausfeld, Kiel . Questions of interest will be: W. Phillips, Stirling . - Is binding by temporal coherence E. Scheerer, Oldenburg . fast enough? M. Schuermann, Luebeck . - How to code hierarchical structures O. Sporns, La Jolla . with temporal code? J. T. Townsend, Bloomington . - How can massively parallel models S. J. Williamson, New York . explain serial processes? The conference is the starting activity of a new cognition research group at Leipzig university. The scientific board is made up by Hans-Georg Geissler, Edith Goepfert, and Andreas Schierwagen. Organisation: Christian Kaernbach Institut fuer Allgemeine Psychologie Universitaet Leipzig Tieckstr. 2 04 275 Leipzig, Germany Tel.: +49 341 97-36932 Fax: +49 341 328464 E-mail: chris@psychologie.uni-leipzig.de From pazzani@ics.uci.edu Fri Mar 17 19:11:17 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 17 Mar 95 19:11:13 -0600; AA03404 Received: from ics.uci.edu by lucy.cs.wisc.edu; Fri, 17 Mar 95 19:11:01 -0600 Received: from ics.uci.edu by q2.ics.uci.edu id aa09885; 17 Mar 95 11:53 PST To: ML-LIST:; Subject: Machine Learning List: Vol. 7, No. 6 Reply-To: ml@ics.uci.edu Date: Fri, 17 Mar 1995 11:22:26 -0800 From: Michael Pazzani Message-Id: <9503171153.aa09885@q2.ics.uci.edu> Machine Learning List: Vol. 7, No. 6 Thursday, March 16, 1995 Contents: MLnetNEWS 3.2 March 1995 The Machine Learning List is moderated. Contributions should be relevant to the scientific study of machine learning. Mail contributions to ml@ics.uci.edu. Mail requests to be added or deleted to ml-request@ics.uci.edu. Back issues may be FTP'd from ics.uci.edu in pub/ml-list/V/ or N.Z where X and N are the volume and number of the issue; ID: anonymous PASSWORD: URL- http://www.ics.uci.edu/AI/ML/Machine-Learning.html ---------------------------------------------------------------------- Date: Wed, 15 Mar 95 15:30:53 0000 From: MLnet Admin Subject: MLnetNEWS 3.2 - March 1995 ************************************** MLnetNEWS 3.2 March 1995 The Newsletter of the European Network of Excellence in Machine Learning ************************************** If you wish to receive the original newsletter in hard copy, please send your *postal* address (i.e. NOT email) to: mlnet@csd.abdn.ac.uk MLnetNEWS is now available on WWW at the url: ftp://ftp.gmd.de/ml-archive/README.html ************************************** Contents: - News from Management Board and Technical Committees - New Associate Node - FhG/TUB, Berlin - Report on ILWS94 - Report on MLSS94 - Report on EKAW94 - Report on the ELSNET/MLnet WS - Report on IFIP94 - Report on LHM Conference - ECML97 Call for proposals - Procedures for Joining MLnet ************************************** ************************************** ************************************** News from the Management Board and Technical Committee Meetings at Bonn, January 1995 Following a busy day reviewing papers for ECML95, on 9 January, the Committees convened the next day to consider a full day's business. The Management Board discussed: Sample budgets and budget notes are available from Aberdeen to help people plan meetings and conferences. If you are planning a meeting please contact Derek Sleeman or Davide Roverso. The Management Board agreed to provide up to 4,207 ECUs to support the administration of ECML95; additionally up to 54,500 ECUs was approved to support the 1995 Familiarisation Workshops (the majority of this is to be spent on bursaries). The Management Board agreed in principle to provide up to 5,000 ECUs to support ILP95, and up to 4,000 ECUs to support a joint Compulog/MLnet workshop. The Management Board approved an application from the Fraunhofer Institute in Berlin to join the network as an Associate node; the Technical University of Berlin will be associated with this node. The next set of meetings will be held at Heraklion in April. Electronic Communication TC It was agreed that the Andrew File Server experiment should be discontinued as it appeared to add a great deal of systems overhead without a sizeable enhancement of functionality. Additionally it was agreed that MLnet (or at least some nodes as a pilot) would use the GroupSpace software being produced at GMD by the CSCW group lead by Dr Hoschka. (More details of this will be included in a future issue of the Newsletter.) Research Technical Committee The revised State of the Art document will be ready by the Spring of 1995. It was agreed that the call for proposals for ECML97 will be published in the newsletter (see Page 13), and the selection will be made in Heraklion. Training Technical Committee David Cornwell reported that in Framework 4, the successor of the HC&M (Human Capital & Mobility) programme is named the TMR (Training and Mobility of Researchers) programme. Additionally, the IT Specific Programme assigns at least 2% of its funds (about 38MECUs) to training activities. Three sorts of programme-wide activities are presently under consideration: 1) project traineeships, rather the old HC&M institutional fellowships, but closely associated with ongoing Esprit projects. A call is not expected before June 95; 2) a EUROCHIP-like activity, but in another technological domain where achieving a critical mass could have a multiplier effect. No call is expected before September 95; 3) ad hoc proposals. The call was opened on 15 December 1994. The TC then discussed how such training schemes could be linked to industrial needs. It was agreed that we should prepare two separate proposals: A) 1 to 3 years fellowships, not necessarily bound to a final qualification, and matching specific industrial needs with the appropriate academic skills. B) PhD programme (4-5 years) at the home university and with training at a different node, with support for the student and the training institution. Additionally, it is possible to submit other ad hoc proposals as the need arises, e.g. short courses. Pan-European involvement in all these schemes would be essential. Written Communication Future planned newsletters: February and May 1995. ************************************** ************************************** ************************************** ML Research at the Fraunhofer-Institute for Information and Data Processing and the Technical University of Berlin by Barbara Schulmeister and Peter Geibel The Fraunhofer-Gesellschaft is a non-profit organisation with 45 institutes in Germany. The work of the institutes concentrates on effective transformation of research findings into economic processes and marketable products. The in-house research of the institutes is subsidised by public funding. The Machine Learning group is part of the Branch Lab for Process Optimisation in Berlin (EPO) of the Institute for Information and Data Processing in Karlsruhe (IITB). This Branch Lab was formed in January 1992. The focal research fields consist in decision support systems, process measuring techniques and knowledge based signal processing, process diagnosis and control for conservation technology as one main application field. The permanent members of the ML group are Wolfgang Mller (head of the group), Mario Bleich, Barbara Schulmeister, Christel Wisotzki and Fritz Wysotzki (who was first head of the group). A couple of students join the group every year. The activities of the group cover the development and application of machine learning algorithms in classification, prediction and control, in particular to learn concepts for the description of processes which cannot or can only partly be modelled mathematically. First, the development of different general learning algorithms: The decision tree learning algorithm CAL5 was especially designed for continuous attributes, i.e. it converts real-valued attributes into intervals using statistical considerations. The learning algorithm DIPOL is a combination of a statistical part with a learning procedure typical for neural nets, and constructs an optimised piecewise linear classifier. Second, the development of specific learning algorithms: the time series classification package TSC includes the approximation of time series by elementary functions, kNN- classification, prototype-classification, generalised prototype-classification and classification of symbol strings. Third, because of the background in the Fraunhofer- Gesellschaft, the group is not confined in basic research alone. Under contract research with companies the developed learning algorithms are used in real-world applications. The ML group was involved in the Esprit project StatLog (5160 - Comparative testing and evaluation of statistical and logical learning algorithms on large-scale applications to classification, prediction and control). The algorithms CAL5 and DIPOL92 were two of the tested algorithms and, in comparison with the others, came out very well. The ML group was one of the partners in the joint project "Knowledge Based Monitoring and Control" (WISCON) supported by the German Federal Ministry for Research and Technology. It focussed on the combination of model knowledge, empirical knowledge and learning algorithms for high water prediction and the water running control of dams. Furthermore, machine learning algorithms are used for knowledge acquisition to complete the rule base of an expert system under an industrial contract. One of the main faculties of the Technical University of Berlin is the Department of Computer Science with a wide range of teaching and research. The Artificial Intelligence Research Group started working in January 1994 and puts its emphasis on the theoretical foundations as well as on industrial applications of modern machine learning methods. Members of the AI Research Group are Fritz Wysotzki (full professor of computer science), Ute Schmid, Peter Geibel, Kristina Schdler and Tobias Scheffer. The activities of the group cover the following topics. In learning relational concepts, the group concentrates on employing graph theoretical methods to overcome drawbacks of current inductive logic programming approaches like the identification problem for alphabetic variants. The relational learning system CRS is already implemented. Another approach to relational learning is the induction of hierarchical sets of rules. A system is developed, that learns classification rules for objects being represented by graphs as well as for real-valued feature vectors. The algorithm will be connected with a neural network learning algorithm. When learning a context dependent classifier for nodes in a graph, one has to consider elementary attributes of the node as well as properties of the whole graph. The induction algorithm increases the considered context depth iteratively and constructs a decision tree. Computational complexity is reduced by introducing complex features. A further topic is the development of hybrid learning algorithms, where the structure matching task is intended to be done by using artificial neural WTA-networks. This approach yields efficient matching and classification algorithms, which are based on parallel and complete structure matching with prototypes. The research on program synthesis combines inductive approaches with hierarchical planning and learning by analogy. Hierarchical planning provides an example computation. This example computation is input to an induction system, that induces a recursive program scheme. Generalizing these program schemes results in the abstract representation of classes of programs. These abstract program schemes can be used for the synthesis of new programs. The ML group is involved in the interdisciplinary research project Cognition and Context, that is supported by the Technical University of Berlin and combines psychological, linguistic and computer science approaches to achieve a deeper understanding of the influence of context in cognition. The group investigates the relationships between concrete (spatial) and abstract relations using a graph theoretical approach. There is an intensive co-operation between both groups in most of the research activities. References M. Musial, T. Scheffer: A Term-Based Genetic Code for Artificial Neural Networks. In: KI-94 Workshop (Extended Abstracts), GI e.V., 1994. Mller, W., Wysotzki, F.: Anwendungen von Lernverfahren in der Prozediagnose, Fachtagung Automatisierung der TU Dresden, Vol. 5, Dresden, 1992. Mller, W., Wysotzki, F.: Machine Learning by Constructing Decision Trees Including Cost Functions, Annals of Operations Research 59, Baltzer AG, Science Publishers, 1994. Mller, W., Wysotzki, F.: A Splitting Algorithm, Based on a Statistical Approach in the Decision Tree CAL5, Workshop Notes Machine Learning and Statistics, ECML-94, Workshop Machine Learning and Statistics, 1994. Mller, W., Wysotzki, F.: Automatic Synthesis of Control Programs by Combination of Learning and Problem Solving Methods (Extended Abstract). In: Lavrac, N., Wrobel, S. (Eds.): Machine Learning: ECML-95, LNAI 914, Springer, 1995. Schdler, K.: A Unique Representation of Configurations (in german). In: Beitrge zum 8. Workshop Planen und Konfigurieren, Universitat Kaiserslautern, SEKI Working Paper SWP-94-01, 1994. Schdler, K.: Graphtheoretical Algorithms and KnowledgeBased Design. In: Nebel, B., Dreschler-Fischer, L. (Eds.): KI-94: Advances in Artificial Intelligence, LNAI 861, Springer-Verlag, 1994. Schmid, U.: Supporting the acquisition of recursive programming skills by examples and explanatory texts (in german). Kognitionswissenschaft, Bd. 4 (1), 1994. Schmid, U., Kaup, B.: Acquisition of recursive programming skills modelled by induction of concepts and rules (in german). In: Kunze, J., Stoyan, H. (Eds.). KI-94 Workshops (Extended Abstracts), GI e.V., 1994. Schulmeister, B., Wysotzki, F.: The Piecewise Linear Classifier DIPOL92. In: Bergadano, F., De Raedt, L. (Eds.): Machine Learning: ECML-94, LNAI 784, Springer, 1994. Schulmeister, B., Bleich, M.: Hybrid Classification: Using Axis-Parallel and Oblique Subdivision of the Attribute Space (Extended Abstract). In: Lavrac, N., Wrobel, S. (Eds.): Machine Learning: ECML-95, LNAI 914, Springer, 1995. Wisotzki, C., Wysotzki, F.: Feature Generation and Classification of Time Series, In: Bock, H.H., Lenski, W., Richter, M.M. (Eds.) : Information Systems and Data Analysis. Studies in Classification, Data Analysis and Knowledge Organisation, Vol. 4, Springer, 1993. Wisotzki, C., Wysotzki, F.: Prototype, Nearest Neighbor and Hybrid Algorithms for Time Series Classification (Extended Abstract). In: Lavrac, N., Wrobel, S. (Eds.): Machine Learning: ECML-95, LNAI 914, Springer, 1995. ************************************** ************************************** ************************************** Report on the MLnet Workshop onIndustrial Applications of Machine Learning (ILWS'94) by Yves Kodratoff (LRI, Paris) The MLnet Workshop on Industrial Applications of Machine Learning was held in Dourdan (France) on September 2nd and 3rd, 1994. The workshop attracted 40 participants from all over the world: six from France and the UK, five from Germany and Italy, three from Holland, two from Belgium, Croatia, and the USA, and one participant from Bulgaria, the Czech Republic, Greece, Poland, Portugal, Singapore, Slovenia, Sweden , and Switzerland. Proceedings of the event have been produced and a few of them are still available on request from lola@lri.fr. The first day was devoted to a reviewing the applications of ML in Industry. The first talk, presented by Ivan Bratko (JSI, Ljubljana, Slovenia): "Applications of machine learning: what, why and how?" provided a historical account of the difficulties, and the early successes of ML. He described some of the applications of attribute-value learning systems, and showed how ILP can induce relational knowledge. Gregory Piatetsky-Shapiro (GTE, USA), speaking on "Knowledge discovery in databases: from research to development" presented this new field of KDD, its successes, and its difficulties. He described his system KEFIR, which is able to detect deviations from norm in a DB. The proceedings contain his transparencies, a selection of important KDD papers, a report on the workshop KDD 93, and description of an application of KEFIR to health-care. Our last general talk has been about industrial applications of knowledge acquisition (KA) presented by Wilfried Achthoven (Bolesian Systems, NL) "The state of the art in knowledge acquisition: industrial practice with KADS, machine learning and case-based reasoning". The afternoon was devoted to the description of three topic of interest in the context of industrial applications: "Applications of machine learning to robotics", by Attilio Giordana (University of Torino, Italy) "Unifying knowledge acquisition and machine learning for applications" by Franz Schmalhofer (DFKI, Kaiserslautern, Germany) "An overview of applications of machine learning to medicine", by Vassilis Moustakis (University of Crete, Greece) The second day started with a special address on the British KDD product, Clementine, by Tom Khabaza (ISL, UK) "Data Mining with Clementine". We had then a session in which the industrial results of three ESPRIT projects related to ML have been presented: "Industrial applications of MLT", by Vassilis Moustakis (University of Crete, Greece). "Industrial applications of STATLOG", by Pavel Brazdil (University of Porto, Portugal) "The results of BLEARN", by Attilio Giordana (University of Torino, Italy); the robot in this lab is learning its way. During the last session, specific results of interest were presented: "Applications of case-based reasoning", by Gend Kamp (University of Hamburg, "Application of GAs at Syllogics", by Pieter Adriaans (Syllogics, NL) with a very professional video of CAPTAIN, their GA-Based system that learned to predict KLMUs pilots employment wishes. "Learning rules about VLSI-design", by Jurgen Herrmann (University of Dortmund, Germany) We ended this session by learning what is happening in ML at three important industrial sites by listening to Fabio Malabocchia (CSELT, Italy), Reza Nakhaeizadeh (Daimler-Benz, Germany), and Dinh Phuoc Vo (Matra Espace, France). ************************************** ************************************** ************************************** Report on the MLnet Summer School on Machine Learning and Knowledge Acquisition (MLSS'94) by Celine Rouveirol (LRI, Paris) The MLNet Summer School on Machine Learning and Knowledge Acquistion (MLSS'94) was held in Dourdan (France), September 4th to 10th 1994, with the support of MLNet, CEC, French PRC- IA, Universite Paris Sud, Sun France and INRIA. Its aim was to provide training in the latest developments in Machine Learning and Knowledge Acquisition to AI researchers, but also to industrials who are investigating possible applications of those techniques. About fifty persons attended MLSS'94. A section of MLSS'94 was dedicated to numerically oriented learning methods. W. Buntine gave a very detailed lecture about learning and probabilities. I. Bratko presented techniques for handling noise in propositional learning systems that build decision trees or set of rules as well as in more recent Inductive Logic Programming systems. L. P. Kaelbling presented a survey on reinforcement learning. At the edge of numeric and symbolic learning techniques, A. Aamodt gave a state of the art overview of Case Based Reasoning and G. Bisson presented an overview of Conceptual Clustering methods and systems, both in a propositional and first order logic framework. The topic of revision of knowledge bases by learning techniques was addressed respectively by D. Sleeman, who focused on propositional systems and S. Wrobel who developed issues of revision in First Order Logic that may necessitate the creation of new predicates. Sleeman stressed the peculiar problems which arise in refining KBs for actual Expert System Shells. Inductive Logic Programming (ILP) was the subject of three lectures. The first, by S. Muggleton, presented an introduction to Logic Programming, then an overview of ILP typical problems and of ILP systems developed during several years. He finally elaborated on challenges for ILP in terms of applications. The second lecture, by C. Rouveirol, mainly focused on the representation of control knowledge or bias in bottom up ILP learners. ILP allows for a neat formalisation of bottom-up learning, such that a specific algorithm can be expressed in terms of generic learning operators. Closing the ILP "day", F. Bergadano completed the previous lecture by an overview of ILP top down systems. Knowledge Acquisition was also represented at MLSS'94. B. Wielinga gave us highlights of the main results of KADS and Common KADS. M. Van Someren some days later reported some experiments and challenges for an active collaboration of Machine Learning and Knowledge Acquisition techniques. Collaboration among different learning techniques (solving and competing on the same problem, or collaborating on different subproblems towards the same learning goal) was addressed by L. Saitta in her lecture about multi-strategy architectures. Lecturers Agnar AAMODT - University of Trondheim, Norway Francesco BERGADANO - University of Catania, Italy Gilles BISSON - LIFIA, Grenoble, France Ivan BRATKO - Josef Stefan Institute, Ljubljana, Slovenia Wray BUNTINE - RIACS/NASA Ames, Moffet Field, CA, USA Leslie KAEBLING - Brown University, USA Steve MUGGLETON - University of Oxford, UK Celine ROUVEIROL - LRI, University of Paris-South, France Lorenza SAITTA - University of Torino, Italy Derek SLEEMAN - University of Aberdeen, UK Maarten VAN SOMEREN - University of Amsterdam, NL Bob WIELINGA - University of Amsterdam, NL Stefan WROBEL - GMD, Bonn, Germany Lectures notes of MLSS'94 are available on request from: Celine Rouveirol LRI, Bat. 490, Universite Paris-Sud F-91405 Orsay Cedex, FRANCE E-mail: celine@lri.lri.fr ************************************** ************************************** ************************************** Report on the 8th European Knowledge Acquisition Workshop (EKAW'94) by Walter Van de Velde (VUB, Brussels) The European Knowledge Acquisition Workshop (EKAW) is the prime forum for tracking the advances in the area of knowledge acquisition in Europe. It is complementary to the Japanese Knowledge Acquisition Workshop (JKAW) and the yearly Banff Knowledge Acquisition Workshop (KAW). The eight edition of EKAW was held in Hoegaarden near Brussels and confirmed the important trends of recent years. It also confirmed the depth and progress obtained in the area of methodology, formalisation of knowledge acquisition models, and practical application. In spite of such impressive results, it is often heard that up to now the knowledge-based direction has failed to deliver on its promises. According to some it is even doubtful whether it ever had the potential of doing so. In view of this apparent impasse, EKAW'94 had set itself two main objectives. The first objective was to demonstrate that work in the mainstream of knowledge acquisition is leading to useful results. There are presently several systems available and in use that demonstrate the potential of knowledge technology. The state of the art in knowledge systems is far beyond the rule- based model. The old knowledge extraction view has been replaced with a prominent modelling view. Knowledge level modelling, method configuration approaches, automated knowledge acquisition, knowledge standards, exchange, and reuse are now becoming reality. All of these help to overcome the complexity problems associated with building intelligent systems that up to now hampered widespread deployment of the technology. The various papers and posters at EKAW'94 illustrated some of the finest recent results in this direction1. For example, some work reported on formalisation, comparison, and extensions to cooperative and multi-agent task settings. Schreiber, Wielinga, Akkermans, Van de Velde, and Anjewierden ("CML: The CommonKADS Conceptual Modelling Language") summarize the major features of CML, which is a language at the core of the latest KADS developments. Ruiz, van Harmelen, Aben, and van de Plassche ("Evaluating a Formal Modelling Language") give criteria for evaluating formal languages for knowledge level modelling and they apply these criteria to the language ML2. The paper of Fensel and Poeck ("A Comparison of Two Approaches to Model-based Knowledge Acquisition") gives a thorough comparison of two different approaches to model-based knowledge acquisition: the MIKE approach, influenced strongly by KADS, and the CRLM approach based on role-limiting methods. Dieng ("Agent-Based Knowledge Acquisition") proposes a modelling framework that emphasizes the description of multiple agents, their roles, cooperation, and reasoning capabilities. This complements single agent modelling techniques with the aim of building cooperative and distributed knowledge systems. On the other hand knowledge modelling frameworks are not unchallenged, as witnessed by two other papers. Schmalhofer, Aitken, and Bourne ("Beyond the Knowledge Level: Descriptions of Rational Behaviour for Sharing and Reuse") put forward arguments against present trends in knowledge level modelling as a predictive framework. Instead they argue for behaviour descriptions of systems in a given context rather than performance prediction from knowledge and goals. Compton, Preston, Kang, and Yip ("Local Patching Produces Compact Knowledge Bases") describe a series of experiments with real and artificial experts on the effectiveness of incremental local changes to a collection of ripple-down rules. To the extent that this works, it implies that knowledge-level models and functional architectures are not necessary. Knowledge acquisition frameworks also serve as frameworks for reuse. When they are used by a substantial group of people, research can focus on an identification of generic components. Such efforts are now taking place: looking to identify generic task structures, problem solving methods, and also ontologies which can be reused across applications. For a long time now problem solving methods have been regarded as key reusable elements. Breuker ("Components of Problem Solving and Types of Problems") gives a typology of tasks with the goal of identifying suitable problem solving methods. This work fits within the KADS framework and is one of the cornerstones of the KADS expertise modelling library. A thorough analysis of diagnostic problem solving resulting in the identification of generic problem solving methods is reported by Benjamins ("On a Role of Problem Solving Methods in Knowledge Acquisition Experiments with Diagnostic Strategies"), while Caamero ("Modelling Plan Recognition for Decision Support") provides a detailed investigation of another class of problem solving methods, geared towards decision support. Recently, ontologies are receiving attention as a means to facilitate reuse of complex components. The contribution of van Heijst and Schreiber ("CUE: Ontology Based Knowledge Acquisition") shows how a better formalisation and structuring of ontologies can play a major role in streamlining further knowledge acquisition in the domain of medical systems. Pirlein and Studer ("KARO: An Integrated Environment for Reusing Ontologies") also propose an extension of a methodological framework and its supporting environment in order to better support the identification of ontologies and their use in a knowledge acquisition project. At yet another level one is starting to investigate reuse of the knowledge acquisition process. Geldof and Slodzian ("From Verification to Modelling Guidelines") describe a set of reusable components for meta-projects, i.e., projects about knowledge engineering projects. They illustrate, using verification as a case-study, how a reflective implementation of a knowledge acquisition tool is used to capture and reuse knowledge engineering know-how. But there are still gaps in current methodology, particularly in the areas of user modelling, verification, and validation. Several papers address these gaps. Andrienko and Andrienko ("AFORIZM Approach: Creating Situations to Facilitate Expertise Transfer") propose and demonstrate knowledge elicitation techniques based on the presentation of situations to induce the recollection and verbalisation of expertise. These situations are generated by the use of spatial metaphors and graphic images. Improvements of the MACAO methodology are described by Aussenac ("How to Combine Data Abstraction and Model Refinement: a Methodological Contribution in MACAO"). Concrete experiments on combining MACAO with elements of KADS lead to methodological guidelines on how to combine the detailed analysis of expert knowledge with the selection and adaptation of generic models. Brazier and Treur ("User Centered Knowledge Based System Design: a Formal Modelling Approach") focus on an area in knowledge level modelling that has, up till now, received less attention, namely the modelling of how the user perceives a system and therefore can interact with it. Tourtier and Boyera ("Validating at Early Stages with a Causal Simulation Tool") present an approach and a tool to capture and validate knowledge about the dynamics of a system. Their approach has the advantage of being applicable before the conceptual model has been operationalised. Yost, Klinker, Linster, Marques, and McDermott ("The SBF Framework, 1989-1994: >From Applications to Workplaces") show that knowledge acquisition must be part of the larger context of analysing business processes. Knowledge acquisition frameworks and methodologies can be used for a variety of purposes, some of which are less obvious than others. Major, Cupit, and Shadbolt ("Applying the REKAP Methodology to Situation Assessment") describe the application of their methodology to a problem of situation assessment, covering knowledge acquisition, design, and implementation aspects of system development. Arcos and Plaza ("Integration of Learning into a Knowledge Modelling Framework) describe NOOS, a reflective architecture allowing for the description and implementation of inference as well as learning components and, most importantly, their integration and combination. Along similar lines, although with greater focus on resolving issues in machine learning, Rouveirol and Albert ("Knowledge Level Model of a Configurable Learning System") describe the use of knowledge level models to configure learning algorithms and systems. Their approach makes explicit the alternatives in algorithms and biases. Automated (re-)configuration of applications is also the topic of Stroulia and Goel ("Reflective, Self-Adaptive Problem Solvers"). They describe a reflective system capable of identifying gaps in its knowledge and redesigning its own task structure. After each paper presentation commentators provided interesting perspectives on the work. The idea of commentators was highly appreciated and it worked very well, in particular because they had been carefully chosen for each individual paper. Several posters were presented during the breaks. With every coffee break a group of three selected posters was focussed on. This scheme was fine, although we felt it could be improved by allowing a 1 minute presentation of the poster before the break. Finally, there was a lot of equipment on site which allowed for many demonstrations, often extending beyond the allotted time. As for its second objective, EKAW'94 wanted to put the knowledge acquisition enterprise in a broader context. This new context derives from the new perspectives on knowledge that are being developed within Knowledge Acquisition and in other areas of Artificial Intelligence or other sciences. For example from linguistics, philosophy of science, learning science, psychology, and sociology one learns how knowledge can be viewed as a social phenomenon, ever evolving and situation specific. This is often seen as an argument against the feasibility of knowledge-based approaches. However, at the same time technological developments in hypermedia and networking are providing us with new tools to explore exactly these issues. These developments offer new opportunities for different and unexplored uses of knowledge technology that are beginning to shape a new future for knowledge engineering. New uses: in the last few years knowledge acquisition has focussed on consolidation of research results, in part by developing more applications. However, developments in business management and sociology indicate new opportunities for the techniques that we now master. In particular business process re-engineering, knowledge management, and social learning are hot topics and crucial features of successful organisations in the future. This is the case for European organisations in particular, since the larger European market requires ever greater flexibility and adaptability. The knowledge engineering community contributes to this with its particular view on the business process, namely the knowledge perspective. For this community, 'knowledge as a crucial asset for success' is more than a clich but is backed up by solid techniques and methodologies. New technologies: knowledge engineering has focussed on building intelligent problem solvers or decision support systems, mostly single user and running on a single computer. New technological developments in hyper- and multi-media, and in networking, are creating new ways to put ideas into practice. These developments are a perfect complement to the new uses that were mentioned above. For example the developments in networking allow for realising the infrastructure that is necessary for effective knowledge management in small and medium sized organisations. Similar technology on a larger scale (i.e., the information highways that are being planned for Europe and the US) will allow for easier exchange and reuse of knowledge descriptions. EKAW'94 featured special contributions to foster debate on the above mentioned topics. Dr. J. Stewart (Institut Pasteur) reported on the consequences of approaching the problems of mind and knowledge from a constructivist perspective. Ken Ford (University of West Florida), on the other hand, argued that positions like these easily go too far in rejecting useful ideas on mental representations. Dr. Attardi (University of Pisa) described evolutions in computing technology and how they are changing the way in which we work, as well as the tools we may find useful. The special contributions had been chosen to bring in new ideas. This turned out to be highly productive and thought-provoking. Fully in line with EKAW's objectives, extensive use was made of the World-Wide Web (WWW). An EKAW WWW server2 was set up both as an experiment and as a way to support the practical organisation of the workshop. For example, an interactive review form reduced the time and effort to produce and process reviews. The server offers most papers on line, integrated communication between authors, EKAW organisation, and contributors to the discussions, public commentary and annotations, local organisation and registration information. At any time one could find the most recent organisational information (detailed program, deadlines for registration, accommodation). Participants could also use it for confirming registration or accommodation reservation. The use of WWW was an experiment in itself. In the future, easier access to knowledge technology will enhance the effectiveness of businesses, and in particular the smaller ones. The new uses and new technologies will create a market on which specialised services can develop (remote knowledge systems, active documents, intelligent software agents, goal-oriented data use, sharing and reuse of knowledge, ...). For all of these the experience and know-how of knowledge engineering is central. In summary both organisers and attendees felt that this EKAW was very successful and, in many respects, innovative. Finally it was decided to hold EKAW'95 in Nottingham, organized by Nigel Shadbolt. Walter Van de Velde Artificial Intelligence Laboratory Vrije Universiteit Brussel Pleinlaan 2, B-1050 Brussels Tel: +32 2 629 37 00 Fax: +32 2 629 37 29 Email: walter@arti.vub.ac.be WWW: http://arti.vub.ac.be/~walter/welcome.html _____________________ 1 The proceedings have been published by Springer-Verlag as "A Future for Knowledge Acquisition" (Eds. Luc Steels, Guus Schreiber and Walter Van de Velde). A limited number of proceedings is still available from the VUB AI-Lab for the reduced prize of 1100 Bfr instead of 1600 Bfr. The posters and position papers can be obtained as a VUB AI-Lab Technical Report 94-2 for 200 Bfr. To order any of these please contact Brigitte Hoenig at brigitte@arti.vub.ac.be 2 The server can be reached at http://arti.vub.ac.be/www/ekaw/welcome.html ************************************** ************************************** ************************************** Report on the ELSNET/MLnet Workshop on Machine Learning of Natural Language and Speech Walter Daelemans (ITK, Tilburg) (Originally published in elsnews 4.1 January 1995, the Newsletter of the European Network in Language and Speech) On 2-3 December, around fifty speech technologists, computational linguists, machine learning researchers, cognitive scientists, and psycholinguists gathered together at the University of Amsterdam. The purpose of this interdisciplinary meeting was twofold: to discuss the possibilities of using machine learning (ML) techniques to solve knowledge acquisition problems in the area of language and speech technology; and to consider language and speech processing as an industrially-relevant application domain in machine learning. The workshop was organised by Walter Daelemans (ITK, Tilburg), Mark Ellison (Centre for Cognitive Science, Edinburgh), and Erik-Jan van der Linden (ILLC, Amsterdam), and represented a new initiative in cooperation and co-sponsorship between two Networks of Excellence, namely MLnet (the European Network of Excellence on Machine Learning) and ELSNET (the European Network of Excellence in Language and Speech). The workshop featured thirteen lectures on topics ranging from mathematical learnability theory to the psychology of language. Local organisation (in the hands of Marco de Vries) was excellent, and the relaxed atmosphere encouraged discussions about current approaches to machine learning of language and speech, and the possibilities for new approaches. While we did not manage to achieve a perfect balance of the different constituencies (the speech and machine learning sides were in the minority), this did not hinder interaction. It seems to be the case, however, that more computational linguists than speech technologists are interested in using ML, and that, within Europe, the ML community has only limited interest in applying their expertise to problems of linguistic knowledge. The main complaint of ML researchers was that the proliferation of different linguistic formalisms and theories makes it difficult to grasp what are the essential tasks in acquiring knowledge of language. They agreed, however, that the existing large and complex linguistic data sets, if properly explained, could provide a meaningful addition to existing bench-marks for ML algorithms. The fact that computational linguists are the researchers most interested in the interaction between ML and language technology is also indicated by the recent establishment of an ACL Special Interest Group in Natural Language Learning (SIGNLL). David Powers (The Flinders University of South Australia) explained that the purpose of the SIG is to promote interest in the area, exchange news, sponsor meetings, and provide resources, and he invited all the workshop attendees to join. (Currently, no dues have to paid.) Communication within SIGNLL will be done mainly through electronic means. A WWW server will be set up through which collected resources (corpora, software, research papers, and data sets) can be accessed. The ELSNET Language and Speech Resources Task Group could play an important role in supporting this activity. A copy of the constitution and further information about membership is available from the current SIGNLL secretary, Walter Daelemans (walter.daelemans@kub.nl). During the research discussion, it was clear that there was a growing consensus that data retention (storage of data) is an important part of learning, especially in domains like language and speech where apart from a regular 'core' of data, there is also a large irregular 'periphery'. This is seen in work on case-based learning, as well as in other work on loss-less compression or the function redundancy. The idea also recurred in presentations on minimal description length applications and speed-up learning: adding generalizations to a case-base can be thought of as speed-up learning, which parallels in recognition time complexity what Minimal Description Length approaches do in terms of space complexity. As mentioned above, the second theme of the workshop concerned the usefulness of the ML approach for the development of commercial applications in language and speech processing. In the concluding discussion session, representatives of industry mentioned reliability, speed, and cheapness in production as important issues, and document management, prosody, and information retrieval as important applications for ML research in this area. Possibilities for applying for funding within the EU's Fourth Framework Programme were also discussed. Although there was some scepticism about the prospect of immediate commercial applications, several participants expressed an intention to put together a project proposal. The workshop clearly showed that there is a need for action by computational linguists in order to convince researchers in speech and ML of the potential of this interdisciplinary area. Steps must also be taken to attract commercial funding for machine learning of language and speech. Because of the tension between practical interests and pure research, and in the latter domain, between descriptive linguists and psychologists modeling human language learners, we cannot expect to convince funding bodies of the importance of this area, or even to make clear what it is that we do, unless we can show success in both theory and applications. At the end of the workshop, it was agreed that three main actions need to be taken. First, researchers in this field must make more effort to publicise the impressive successes in applying ML techniques to real-world problems. It must be shown that at least some applications are scalable, efficient and can lead to commercially interesting products. Second, empirical evidence must be given showing that ML can solve problems in language and speech processing that cannot be solved by the use of statistics and neural nets. Finally, standardised and widely recognised linguistic benchmark problems should be publicised to the ML community so that these researchers realise there are problems they can think about without feeling that a shift in linguistic formalisms will render their efforts irrelevant. The workshop showed that success stories, empirical comparisons, and benchmarks are indeed forthcoming. Full information about the workshop (including the participant list) is available through WWW at the URL http://www.cs.rulimburg.nl/~antal/signll/signll-home.html ************************************** ************************************** ************************************** Report on the Machine Learning Workshop at the 13th World Computer Congress of the International Federation for Information Processing (IFIP) by Katharina Morik (Univ. of Dortmund) The 13th World Computer Congress of the International Federation for Information Processing (IFIP) took place from the 28th of August to the 2nd of September at Hamburg, Germany. It was hosted by the German Computer Science Society (GI e.V.) to mark the 25th anniversary of that society. Prof. Dr. Wilfried Brauer was the general chair and Prof. Dr. Ron Uhlig was the program committee chair. In addition to the main session, in which 140 papers were presented, congress delegates discussed nine general questions in special tracks. Additionally, 16 workshops took place, most of them in parallel. MLnet offered a one-day workshop: "Machine Learning - A New Technology and Its Applications". After an introduction by Katharina Morik, more specific presentations were given by: Yves Kodratoff (Univ. Paris-Sud, France), on "Machine Learning and Knowledge Acquisition" Stefan Wrobel (GMD, Germany), on "The Knowledge Base Workbench MOBAL" Lorenza Saitta (Uni. Torino, Italy), on "A Real-World Application in Trouble-Shooting" Jrgen Herrmann (Univ. Dortmund, Germany), on "Machine Learning in VLSI-Design" Joachim Stender (Brainware, Germany), on "Real-World Applications of Machine Learning, Genetic Algorithms, and Neural Networks" Katharina Morik (Univ. Dortmund, Germany), on "Machine Learning in Robotics Navigation" Attilio Giordana (Univ. Torino, Italy), on "Machine Learning in Robot Assembly" The first two talks pointed out the difficulties of modeling which underly the problem of knowledge acquisition for knowledge-based systems. Modeling means to design the representation language (or signature) with the attributes and their possible values, or the predicates and argument sorts. Yves Kodratoff convincingly argued that modeling is a prerequisite for learning where at the same time learning can support the modeling process. He showed several real-world applications of machine learning, each illustrating the two- sided relation between machine learning and knowledge acquisition. The talk by Stefan Wrobel was about the MOBAL system that has been developed in order to support a knowledge engineer in his or her modeling activity. The system integrates learning capabilities, ways of inspecting a knowledge base, and knowledge revision. Applications were presented that show different uses of the various system facilities. Whereas the first two talks tackled a general problem and used applications for illustrative purposes, the following three talks each presented an application in detail. Lorenza Saitta offered a deep insight into a real collaboration of a machine learning specialist and industrial users. The University of Torino did not just deliver the system that subsequently was used by the industrial partner. In their case the implementation of the learning method was conducted within the company computer environment by the company itself. It was shown clearly, that knowing how learning methods can be used for a specific application and elicitating the required knowledge is much more important than delivering a machine learning tool. Jrgen Herrmann presented a system that supports VLSI design and uses several learning strategies in an integrated manner. Joachim Stender, the owner of a software house that specializes in machine learning, gave an overview of applications that Brainware has successfully undertaken. For many of the applications, a mixture of learning methods, from reinforcement learning to tree induction, were used. He advocated the problem-oriented use of various learning strategies. The last two talks presented results from the two tracks of the BLearn-II project, robot navigation and robot assembly. Katharina Morik showed how inductive logic programming can be used to support robot navigation. Attilio Giordana presented the automatic synthesis of Fuzzy controllers for robot assembly. Due to the many workshops being held in parallel, there were only 14 participants (in addition to the speakers) in this workshop. This was of course disappointing (even if all the other workshops had comparably sized audiences); but the lectures felt, nevertheless, that it was important to have ML featured in this major international CS event. ************************************** ************************************** ************************************** ECML97 Call for Proposals The International Conference on Machine Learning will take place in Bari during the Summer of 1996. The Program Chair will be Lorenza Saitta (Torino) and the Local Chair will be Floriana Esposito. Thus there will not be an ECML96. However, MLnet would like to establish a planning cycle for the ECML conferences, and intends making a decision at the Heraklion meeting, about the location, and Program Chair for ECML97. Similarly to the International Meeting, it has been agreed in future that bids for a site to host the ECML conference, should include: overall budgets for the event, including a statement of the conference fee, details of accommodation costs, some details of the facilities which can be provided at the actual conference site, details of the distance between the likely residential accommodation and the conference site, a summary of how to reach the city by air, rail and road, sponsorships expected. Guidelines for drawing up budgets are available from Derek Sleeman (Aberdeen). Both he and Lorenza Saitta will be happy to talk to potential sites. The deadline for submission is : 8th April 1995 ************************************** ************************************** ************************************** Procedures for joining MLNet Initial enquiries will receive a standard information pack (including a copy of the Technical Annex) All centres interested in joining MLnet are asked to send the following to MLnet's Academic Coordinator: A signed statement on Institutional notepaper saying that you have read and agreed with the general aims of MLnet given in the Technical Annex; One hard-copy document listing the Machine Learning (and related activities) at the proposed node and three copies of any enclosures; the document should include a list of scientists involved in these field(s), half page curriculum vitae for each of these senior scientists, current research students, lists of recent grants and relevant publications over the last 5 year period; A statement of the Technical Committees which the Centre would be interested in joining, and a succinct statement of the potential contributions of the Centre to the Network and its Technical Committees. Two members of the Management Board will be asked to look at the material in detail and will present the proposal at the next Management Board meeting. Through the Network's Coordinator, the members may ask for additional information. The Academic Coordinator will be in touch with the Centre as soon as possible after the Management Board meeting. The Management Board is not planning to set a fixed timetable for applications, but advises potential nodes that it currently holds Management Board meetings in November, April and September, and that papers would have to be received at least six weeks before a Management Board meeting to be considered. (Contact Derek Sleeman for details). To Industrial applicants wishing to become Associate Nodes, the following revised criteria will be applied: that they can show a substantial involvement in a relevant activity to MLnet over the last year; have a planned relevant activity for at least the next year; are willing to commit up to 2 days annually on MLnet business (attending meetings etc.). ************************************** ************************************** ************************************** Academic Coordinator: Derek Sleeman Department of Computing Science University of Aberdeen King's College Aberdeen AB9 2UE Scotland, UK Tel: +44 1224 27 2288/2304 Fax: +44 1224 27 3422 email: {mlnet, sleeman}@csd.abdn.ac.uk Documents available from Aberdeen: State of the Art Overview of ML and KA Recently Announced projects (ESPRIT III) MLnet Flyer First Year Report Second Year Report Policy Statement ************************************** ***** End of MLnetNEWS 3.2 ***** ************************************** From pazzani@ics.uci.edu Fri Mar 17 19:13:04 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 17 Mar 95 19:13:00 -0600; AA03437 Received: from ics.uci.edu by lucy.cs.wisc.edu; Fri, 17 Mar 95 19:12:47 -0600 Received: from ics.uci.edu by q2.ics.uci.edu id aa07997; 17 Mar 95 11:20 PST To: ML-LIST:; Subject: Machine Learning List: Vol. 7, No. 5 Reply-To: ml@ics.uci.edu Date: Fri, 17 Mar 1995 10:40:37 -0800 From: Michael Pazzani Message-Id: <9503171120.aa07997@q2.ics.uci.edu> Machine Learning List: Vol. 7, No. 5 Thursday, March 16, 1995 Contents: A list of ML folks' home pages Research positions available: Switzerland ML Lectureship/Postdoc in New Zealand Postdoc: University of Iowa Machine Learning Conference: Prog. by Demo CFP Machine Learning Conference: Reinforcement CFP Machine Learning Conference: Agents CFP Machine Learning Conference: Genetic Programming CFP Machine Learning Conference: ML in Practice CFP ILP95 call for papers Joint Workshop MLnet - CompulogNet 2nd CFP: EPIA'95 CFP: INFORMATICA Utah Workshop on the Applications of Intelligent and Adaptive Systems The Machine Learning List is moderated. Contributions should be relevant to the scientific study of machine learning. Mail contributions to ml@ics.uci.edu. Mail requests to be added or deleted to ml-request@ics.uci.edu. Back issues may be FTP'd from ics.uci.edu in pub/ml-list/V/ or N.Z where X and N are the volume and number of the issue; ID: anonymous PASSWORD: URL- http://www.ics.uci.edu/AI/ML/Machine-Learning.html ---------------------------------------------------------------------- From: aha@aic.nrl.navy.mil Subject: A list of ML folks' home pages Date: Tue, 7 Mar 1995 12:43:58 -0500 (EST) As a hobby, I've collected links to (over 250) home pages for ML (& CBR) researchers/practitioners (http://www.aic.nrl.navy.mil/~aha/people.html). Perhaps they can be of some small use. Edits/suggestions welcome. David ------------------------------ Date: Wed, 8 Mar 95 11:57:41 +0100 From: Juergen Schmidhuber Subject: Research positions available: Switzerland Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA) in beautiful Lugano (Switzerland) is starting up research projects in (1) reinforcement learning and evolutionary computation, and (2) supervised and unsupervised neural nets. We offer research positions at various levels (beginning now): 1. 1 postdoc or up to 2 PhD students, 2. A few undergrad students. The initial contracts will last until the end of this year, with a possible extension of 2 more years. Temporary visits (for a few months) by visiting researchers/students are also possible. Send CV, list of publications (if applicable), brief statement of research interests, and names/email addresses of references to: juergen@idsia.ch Postscript preferred. DEADLINE: March 31 1995. Earlier applications preferred. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ To check whether you share our research interests, have a look at these recent papers: 1. ``On learning how to learn learning strategies'' FTP-host: flop.informatik.tu-muenchen.de (131.159.8.35) FTP-filename: /pub/fki/fki-198-94.ps.gz (use gunzip to uncompress) 2. ``Flat minimum search finds simple nets'' (fki-200-94.ps.gz) 3. ``Semilinear predictability minimization produces orientation sensitive edge detectors'' (fki-201-94.ps.gz) 4. ``Ant_Q: A Reinforcement Learning Approach to Combinatorial Optimization'' FTP-host: fava.idsia.ch (192.132.252.1) FTP-filename: /pub/ant_q/TR.09-ANT-Q.ps.gz Papers 1-3 and others (and a list of publications) can also be retrieved from http://papa.informatik.tu-muenchen.de/mitarbeiter/schmidhu.html or from http://www.idsia.ch/people/juergen.html A significant part of the initial research will focus on the ``incremental self-improvement paradigm'' described in paper 1. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ New address since March 1: Juergen Schmidhuber IDSIA Corso Elvezia 36 6900-Lugano Switzerland juergen@idsia.ch ------------------------------ Date: Mon, 13 Mar 1995 10:26:44 +1200 From: "Ian H. Witten" Subject: ML Lectureship/Postdoc in New Zealand POST DOCTORAL FELLOWSHIP/PART-TIME LECTURESHIP IN COMPUTER SCIENCE THE UNIVERSITY OF WAIKATO, Hamilton, NEW ZEALAND Applications are invited for a post-doctoral fellowship/part-time lectureshipin Computer Science at the University of Waikato. Applicants should hold a recent PhD in Computer Science or equivalent qualification. They should have a research background in some area of machine learning. The position is half-time PDF and half-time ectureship. The successful applicant will be required to teach a half teaching load in the Computer Science department. He or she will also be expected to conduct research in the area of machine learning and to participate in ongoing projects in this ara. Projects include the application of machine learning to various problems in agriculture, the development of new machine learning algorithms, programming by demonstration, and theoretical foundations of learning based on the MDL principle. The current alary range is $37,440 - $49,088 per annum. The position is for a one year period. Enquiries of an academic nature may be made to the machine learning group co-ordinator, Professor Ian Witten, telephone 64-7-838-4246, fax 64-7-838-4155, e-mail address: hw@waikato.ac.nz. Information on the method of application and conditions of appointment can be obtained from Personnel and Management Services, The University of Waikato, Private Bag 3105, Hamilton, New Zealand, telephone 64-7-838-4003, fax 64-7 856-013, e-mail personnel@waikato.ac.nz. Applications quoting reference number A95/18 should reach Personnel and Management Services by 31 March 1995. Places for appointee's children may be available in the creche run by the Campus Creche Society (Inc). Equal pportunity is University policy. ------------------------------ Date: Thu, 16 Mar 1995 10:49:04 -0600 From: Alberto Maria Segre Subject: Postdoc: University of Iowa Position Announcement Postdoctoral Associate in Information Systems Department of Management Sciences The University of Iowa The Department of Management Sciences at the University of Iowa is soliciting applications for a POSTDOCTORAL ASSOCIATE commencing August 1995 in the general area of Information Systems. The successful applicant will hold a PhD in Information Systems or related area. A strong background in computing is essential, as is demonstrated teaching potential. Postdoctoral associates participate in both the teaching and research activities of the department. Duties for this position include teaching one course per semester in the Information Systems area. Postdoctoral associates are also expected to participate in research in an area congruent with the department's current research focus, including computer networking, database systems, artificial intelligence, decision support and expert systems, performance analysis, and optimal design of computer systems. For additional information regarding departmental research activites, consult our World Wide Web page at "http://www.biz.uiowa.edu/". Applicants should send electronic copies of their curriculum vitae (including names and electronic addresses of at least three references) to: Ms. Judy Putney Department of Management Sciences C108 Pappajohn Building The University of Iowa Iowa City, IA 52242-1000 jputney@scout-po.biz.uiowa.edu Alternatively, hardcopy applications are also being accepted. The University of Iowa offers a competitive salary and benefits package. ------------------------------ From: "Jeffrey C. Schlimmer" Subject: Machine Learning Conference: Prog. by Demo CFP Date: Wed, 1 Mar 1995 21:47:55 -0800 (PST) WORKSHOP CALL FOR PAPERS Twelfth International Conference on Machine Learning Learning from Examples versus Programming by Demonstration: Is Interaction the Key to (Better) Applications? Tahoe City, California, U.S.A. July 9, 1995 Inductive Learning from Examples (LfE) is a well established subject in Machine Learning. "Pure" LfE is performed automatically without any human interaction. Programming by Demonstration (PbD) on the other hand can be seen as some kind of "extreme" form of user-supported LfE where the user continually interacts with a PbD system. The nearly exclusive focus of it is the learning of programs. BACKGROUND PbD researchers have been disappointed with standard ML algorithms. They require too many examples or too strong a domain theory. Moreover they do not learn "useful" concepts that deterministically generate or modify data, but rather learn how to classify. Finally they easily get out of the user's control. Therefore, PbD applications to date have relied on pragmatic assumptions, application-specific heuristics, and manual intervention, to make plausible inferences from very few examples. Although this approach has yielded some successful early results, the systems require considerable engineering and have strict and often counter-intuitive limits on their adaptability. ML techniques integrated with user interaction hold out the promise of simpler, more capable systems. But the dialog between ML and PbD is just beginning. SCOPE The workshop aims at bringing together researchers from the Machine Learning as well as different application areas. These include robotics, graphics interface development, office automation, and interactive software design. Topics of interest include, but are not limited to: - Combining LfE with user interaction to create working PbD applications - Acquisition and maintenance of control-knowledge using interaction - Relations between an agent's background knowledge, reasoning methods, and user interaction abilities - Which results of LfE are not used in PbD systems today, and why? - Effects of PbD system development on existing ML techniques and problems - User interfaces and system architectures for PbD systems - Why does PbD receive only little attention in the ML community so far? SUBMISSION OF PAPERS Paper submissions are limited to 5000 words. The title page must contain the title of the talk, name(s) and affiliation(s) of the author(s) and a list of keywords as well as the full address (including e-mail) of the first author. A sample paper, a LaTeX style file and a MS-Word file are available via ftp://ftpipr.ira.uka.de/pub/conferences/ML95-PBD/ . A laser-quality copy of the paper must be received by the workshop organizers at the contact address below by APRIL 7, 1995. The electronic submission of papers in Postscript format to ftp://ftpipr.ira.uka.de/ is encouraged. Accepted papers (about 9) will be published in the Workshop notes, the best papers will be selected for a special issue of AI and Engineering Applications. IMPORTANT DATES Submission deadline: APRIL 7, 1995 Notification of acceptance: May 2 Camera-ready paper: June 9 Workshop: July 9, 1995 PROGRAM COMMITTEE S. Bocionek (Munich, Germany) R. Dillmann (Karlsruhe, Germany) A. Giordana (Turin, Italy) Y. Kuniyoshi (Tsukuba, Japan) D. Maulsby (Cambridge, USA) CONTACT ADDRESS Holger Friedrich University of Karlsruhe Institute for Real-Time Computer Systems & Robotics D-76128 Karlsruhe, Germany friedric@ira.uka.de ftp://ftpipr.ira.uka.de/ This announcement is also available in PostScript form in the URL ftp://eecs.wsu.edu/pub/ml95/workshop-lfevpbd.ps . ------------------------------ From: "Jeffrey C. Schlimmer" Subject: Machine Learning Conference: Reinforcement CFP Date: Wed, 1 Mar 1995 22:13:24 -0800 (PST) WORKSHOP CALL FOR PAPERS Twelfth International Conference on Machine Learning Value Function Approximation in Reinforcement Learning Tahoe City, California, U.S.A. July 9, 1995 This workshop will explore the issues that arise in reinforcement learning when the value function cannot be learned exactly, but must be approximated. It has long been recognized that approximation is essential on large, real-world problems because the state space is too large to permit table-lookup approaches. In addition, we need to generalize from past experiences to future ones, which inevitably involves making approximations. In principle, all methods for learning from examples are relevant here, but in practice only a few have been tried, and fewer still have been effective. The objective of this workshop is to bring together all the strands of reinforcement learning research that bear directly on the issue of value function approximation in reinforcement learning. We hope to survey what works and what doesn't, and achieve a better understanding of what makes value function approximation special as learning from examples problem. The key computational idea underlying reinforcement learning is the iterative approximation of the value function---the mapping from states (or state-action pairs) to an estimate of the long-term future reward obtainable from that state. For large problems, the approximation of the value function must involve generalization from examples to reduce memory requirements and training time. Moreover, generalization may help beat the curse of dimensionality for problems in which the complexity of the value function increases sub-exponentially with the number of state variables. Generalizing function approximators have been used effectively in reinforcement learning as far back as Samuel's checker player, which used a linear approximator, and Michie and Chambers' BOXES system, which used state aggregation. Tesauro's TD-Gammon, which used a backpropagation network, provides a tantalizing recent demonstration of just how effective this can be. However, almost all of the theory of reinforcement learning is dependent on the assumption of tabular representations of the value function, for which generalization is impossible. Moreover, several researchers have argued that there are serious hazards intrinsic to the approximation of value functions by reinforcement learning methods. It is an important and still unclear question as to just how serious these hazards might be. In this workshop we will survey the substantial recent and ongoing work pertaining to this question. We will seek to answer it or, failing that, to identify the remaining outstanding issues. If existing theory of reinforcement learning no longer applies when an approximate value function is learned, what are we to do? The workshop will explore the problem and following possible responses, among others: (1) ignore the problem and proceed empirically, perhaps discovering as we create applications that some seem to work and some don't. A danger with this approach is that successes will be reported loudly and failures whispered quietly, and we may become a community of tweakers. (2) analyze what properties function approximators need in order to work well with current reinforcement learning algorithms: are there function approximators specially suited to reinforcement learning? (3) invent new reinforcement learning methods that are specifically designed to work well with function approximators. (4) invent new theory for value function approximation. What bounds can be placed on the errors? Can particular function approximators give us better bounds or stability guarantees? Can online training get us better bounds or stability guarantees? (5) What can we learn from the literature of other fields: - optimal control theory and LQG regulation - heuristic function generation techniques in computer game playing - operations research and differential games WORKSHOP FORMAT Several focussed sessions with short (~15 minute) talks followed by moderated discussion. WHO SHOULD ATTEND All researchers with empirical or theoretical experience with value function approximation in reinforcement learning or dynamic programming. As an expression of interest, please submit as soon as possible a short (one paragraph to one page) statement of your research interests in value function approximation, or a copy of a paper you have written in this area. We will use this material to help select and organize the sessions. If you would like to make a presentation at the workshop, please also submit an extended abstract (2-5 pages) by MAY 1, 1995. SUBMISSION INFORMATION Electronic submissions (ASCII or postscript) are preferred. E-mail or post submissions should be sent to the contact address below by MAY 1, 1995. IMPORTANT DATES Submission of statements of interest: ASAP Submission of extended abstracts/papers: MAY 1, 1995 Acceptance notification: May 19 Submission of final camera-ready papers: June 9 Workshop: July 9, 1995 ORGANIZERS Andrew Moore (chair) - Carnegie Mellon University Rich Sutton - Stow Research Justin Boyan - Carnegie Mellon University PROGRAM COMMITTEE John Tsitsiklis - MIT, Lab for Information and Decision Sciences Satinder Singh - MIT, Brain and Cognitive Sciences Leemon Baird - Wright Patterson Air Force Base CONTACT ADDRESS Andrew W. Moore Smith Hall 221 Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213 awm@cs.cmu.edu http://www.cs.cmu.edu:8001/Web/Groups/reinforcement/ml95/ ------------------------------ From: "Jeffrey C. Schlimmer" Subject: Machine Learning Conference: Agents CFP Date: Wed, 1 Mar 1995 20:46:21 -0800 (PST) WORKSHOP CALL FOR PAPERS Twelfth International Conference on Machine Learning Agents that Learn from Other Agents Tahoe City, California, U.S.A. July 9, 1995 Agent-oriented learning is currently receiving a great deal of attention among machine learning researchers. The purpose of this workshop is to draw researchers from diverse areas of machine learning, such as learning in the context of distributed AI, planning and learning, software agents, knowledge acquisition, reinforcement learning, computational learning theory, neural networks, genetic algorithms, explanation-based learning, and multistrategy learning to address the unifying theme of agents that learn from other agents. This workshop is a special opportunity for empirically-oriented machine learning researchers to interact with the theoretical COLT community on a topic of mutual interest. There has been a growing trend in agent-oriented learning toward learning methods that involve interacting with other agents. One such interaction is via advice-taking (Suddarth and Holden 1991), which may well turn out to be the most efficient method for building software agent architectures. Instruction is steadily increasing in popularity as a method for agent learning (e.g., Gordon & Subramanian 1993, Huffman & Laird 1993, Lin 1993, Maclin & Shavlik 1994, Noelle & Cotrell 1994, and Tecuci, Hieb, Hille, & Pullen 1994). Meanwhile, there is also an active interest in agents that learn from observation (e.g., Iba and Langley 1992, Lin 1993), as well as agents that communicate and learn from each other (e.g., Etzioni and Weld 1994, Lashkari, Metral, & Maes 1994). Furthermore, in the COLT community there have been a number of papers on team learning (e.g., Daley, Kalyanasundaram, & Velauthapillai 1993). For these reasons, the main focus of our workshop is on learning from instruction or observation, rather than the environment. The instructors might be humans or other automated agents. This workshop will encourage papers on the following topics: - Learning from instruction or advice - Learning from observation of humans or other agents - Learning from multiagent interactions, including multiagent cooperation - Multistrategy learning methods for agents - The role of hybrid architectures in learning from instruction - The role of prior knowledge in learning from instruction - Theoretical foundations of team learning - Methodologies for building (knowledge-based) learning agents - Languages for inter-agent communication - Applications of learning agents, such as intelligent automated forces in simulated environments, softbots that find Internet papers or newsgroup postings of interest to another agent, resource-limited agent construction, learning apprentice systems, and intelligent information retrieval FORMAT This workshop will begin with a keynote talk by Dr. Tom Mitchell, followed by paper presentations on the main themes of the workshop. After each paper presentation, there will be time allotted for discussion. Furthermore, the presented papers will be grouped into theme-oriented sessions, and each session will be followed by an extended discussion period. If more papers are accepted than can be presented, a poster session will be included. The workshop will conclude with a panel discussion on the central issues of the workshop. The issues to be discussed will be distributed in advance to all of the attendees in order to encourage their participation. SUBMISSION INFORMATION For those wishing to present papers, our selection will be made based on 5-7 page extended abstracts (using 12-pt font and double spacing). Submissions should be sent by email to the contact address below by MAY 1, 1995. PostScript is the preferable submission mode. The working notes will appear in a proceedings published on the World-Wide Web. Those who wish to attend the workshop without presenting a paper should send email to the contact address below stating that they intend to register and should include a one-paragraph description of their research interests. We need these items so that we can estimate the workshop attendance for room requirements and agenda preparation. IMPORTANT DATES Extended abstracts/research descriptions due: MAY 1, 1995 Notification of acceptance: May 22 Submission of final (revised) abstracts for working notes: June 15 Workshop: July 9, 1995 ORGANIZING COMMITTEE Diana Gordon, Naval Research Laboratory (chair) Jude Shavlik, University of Wisconsin Devika Subramanian, Cornell University Gheorghe Tecuci, George Mason University and Romanian Academy CONTACT ADDRESS Dr. Diana Gordon Naval Research Laboratory, Code 5514 4555 Overlook Avenue, S.W. Washington, D.C. 20375-5337 gordon@aic.nrl.navy.mil (202) 767-2686 (202) 767-3172 FAX ------------------------------ Subject: Machine Learning Conference: Genetic Programming CFP Date: Wed, 1 Mar 1995 21:14:44 -0800 (PST) From: "Jeffrey C. Schlimmer" WORKSHOP CALL FOR PAPERS Twelfth International Conference on Machine Learning Genetic Programming - From Theory to Real-World Applications Tahoe City, California, U.S.A. July 9, 1995 The goal of the workshop is to shed light onto the methodology for understanding, explaining and controlling GP search and to show how these issues are reflected in GP frameworks and successful or innovative applications. The workshop will focus on three discussion and paper topics: 1. Theoretical issues. Questions about representation and operators have generated both theoretical and experimental work in the field of genetic algorithms (GA). Similar questions are relevant for GP. o Representation-- How do architectural choices influence performance? o Operators-- What operators are appropriate and why? o Search-- How does GP sample the space of programs? Why does GP work, even for tremendously huge search spaces? 2. GP algorithms. GP extensions show that the process of finding better solutions can be accelerated. We would like to stimulate other approaches to GP search by encouraging new architectural ideas and the formal analysis of such ideas. o What is the relationship with other machine learning techniques, such as inductive logic programming? o Application domain-- Are particular classes of applications facilitated by particular approaches? 3. Real-world and innovative applications. GP has proven that it can go beyond toy applications in problems of classification, image analysis, system identification, prediction and control. We encourage submissions reporting GP applications to real-world problems as well as innovative application ideas. The workshop will also explore GP-based approaches to real problems faced by the ML community. o Efficiency-- How do results of the GP approach compare with results of other machine learning or artificial intelligence approaches? What makes GP an attractive tool? o Scalability-- What makes an implementation scalable? o Biases-- What are the limits of particular approaches and representations? Are there desired features that cannot be implemented in GP? To allow for a pointed technical discussion of the issues, each submission should address the questions relevant for its appropriate category. Be very specific about the experiments reported. Discuss why you have chosen a particular problem representation. Show the influence of the various architectural decisions. The workshop will consist of invited talks, presentations of selected papers and discussions on the proposed topics. We will encourage interaction and discussion of ideas among participants, reserving additional time for this at the end of each presentation session. Based on submissions in the above categories, we will select discussion leaders. SUBMISSION INFORMATION Potential attendees should submit either an extended abstract (5 pages) or a full paper (which should not exceed 20 pages) by APRIL 24, 1995. We encourage everyone to submit their papers or extended abstracts electronically, Postscript or ASCII only. E-mail submissions should be sent to the contact address below. If e-mail submission is not possible, please send three copies of the paper or abstract to the contact address below. We intend to create working notes to be distributed at the time of the workshop. IMPORTANT DATES Submission of extended abstracts/papers: APRIL 24, 1995 Acceptance notification: May 12 Submission of final camera-ready papers: June 9 Workshop: July 9, 1995 ORGANIZING COMMITTEE Justinian Rosca (Chair) - University of Rochester Frederic Gruau - Stanford University Kim Kinnear - Adaptive Computing Technologies John Koza - Stanford University Walter Tackett - Neuromedia CONTACT ADDRESS ML-95 GP Workshop Justinian Rosca 615 Computer Studies Building Computer Science Department University of Rochester Rochester, NY 14627 rosca@cs.rochester.edu (716) 275-1174 (716) 461-2018 FAX ------------------------------ From: "Jeffrey C. Schlimmer" Subject: Machine Learning Conference: ML in Practice CFP Date: Wed, 1 Mar 1995 20:14:46 -0800 (PST) WORKSHOP CALL FOR PAPERS Twelfth International Conference on Machine Learning Applying Machine Learning in Practice Tahoe City, California, U.S.A. July 9, 1995 Applications of machine learning (ML) involve specifying the learning and performance tasks, constructing a dataset or data generator, and selecting and modifying appropriate learning algorithms for these tasks. Most published work on ML concerns the analyses of learning algorithms. Reading such work, one might be led to believe that little effort is required to obtain good performance with the selected algorithm(s) on the selected task. Machine learning practitioners and empiricists know that this view is fallacious. Successful applications or demonstrations of ML algorithms involve substantial user and domain expertise to guide multiple iterations of data transformation, algorithm selection, and/or algorithm modification. Unfortunately, such expertise is rarely communicated in the machine learning literature. OBJECTIVE The purpose of this workshop is to characterize the expertise used during the application of ML algorithms to real-world problems and, in doing so, to develop a better understanding of how to use ML tools successfully. We solicit descriptions of the expertise exhibited during the complete sequential decision process leading to successful ML applications and a discussion of what guided the decision making and selection of the approaches used at each step. Submissions involving the following or related topics are specifically welcome: 1. Papers documenting the expertise used during the sequential process of modifying/extending existing algorithms and/or domain data to solve complex learning tasks. 2. Novel models of the decision-making process describing how to apply expertise during ML problem solving. 3. Surveys or comparisons of different such process models for guiding the application of learning algorithms. 4. Reports on software tools and environments for capturing and/or automatically applying ML application expertise. 5. Empirical studies documenting the effect of expertise on the performance of machine learning algorithms. We encourage authors of submissions to discuss the explanations and motivations they used to guide the data transformation process, the selection of the experimental method, the selection of simulators, the selection of algorithms, their modifications, and/or parameter selection. Relevant discussions on previously published work are welcome, so long as the focus is on documenting the expertise used rather than, for example, predictive accuracy. Likewise, reports of informative negative results are also encouraged, with the caveat that lessons learned from these results can be used to guide the ML practitioner so as to avoid future pitfalls and instead lead to an ultimately successful application. Preference will be given to submissions discussing work with real-world problems - rather than case studies comparing the performance of a suite of algorithms on a set of datasets from the UCI repository - in which the authors discuss how one can define and solve such problems so as to attain good results on the performance task. We will request participants who wish to present papers to complete a simple questionnaire that we will soon provide via our World-Wide Web pages. The purpose of this questionnaire is to provide a mechanism for comparing how ML expertise was used in the workshop participants' projects. We will also request that authors of presented papers include in their paper a figure outlining the process model they chose. We will make examples of such process models available in our World-Wide Web pages. We plan to use the authors' figures and the completed questionnaires to characterize and summarize this workshop's contributions. Specifically, we hope to identify common themes that appear in the contributions. Our findings will be included as a paper in the working notes. FORMAT This workshop will consist of invited presentations, paper presentations and the presentation of our summary results. A panel discussion that focuses on common themes involved with using ML application expertise is being considered dependent on the submissions received. Time will be reserved for open discussions on this subject. Speakers will be selected based on the clarity of their contribution and by coverage of the different methods described among the submissions. Please see our World-Wide Web pages for up-to-date details. SUBMISSION INFORMATION For those wishing to present at this workshop, please submit a paper of at most ten pages (plus a completed copy of our questionnaire, when made available). For those wishing to simply attend this workshop, please instead submit a one or two-page description summarizing your interests relevant to this workshop. The first page of each submission should include the title, the author's name(s) and affiliation(s), a complete mailing address, phone number, FAX number, e-mail address, an abstract of at most 250 words, and two to four keywords. All submissions (papers or descriptions of relevant work) will be reviewed by at least two members of the organizing committee. Please e-mail PostScript submissions to the contact address below by MAY 1, 1995. Two-sided hardcopy submissions are welcome for those who do not have PostScript capability. The revised versions of all accepted submissions will be made World-Wide Web accessible. Workshop attendees will be provided with hardcopies of the complete working notes. All workshop invitees should contact us by June 10, 1995 to verify their registration. SCHEDULE Submission deadline: MAY 1, 1995 Notification of acceptance: May 15 Workshop registration deadline: June 10 Revised submissions due: June 15 Working notes available on-line: June 22 Workshop date: July 9, 1995 ORGANIZING COMMITTEE David W. Aha, NRL (co-chair) Jason Catlett, AT&T Bell Laboratories Haym Hirsh, Rutgers University Patricia Riddle, Boeing Computer Services (co-chair) CONTACT ADDRESS Commanding Officer Naval Research Laboratory Attn: David Aha, Code 5510 4555 Overlook Ave, SW Washington, D.C. 20375-5337 aha@aic.nrl.navy.mil (202) 767-9006 (202) 767-3172 FAX http://www.aic.nrl.navy.mil/~aha/imlc95-workshop/home.html ------------------------------ Date: Thu, 16 Mar 1995 10:19:13 +0100 From: Hendrik Blockeel Subject: ILP95 call for papers 5th International Workshop on Inductive Logic Programming 4-6 September 1995, Leuven, Belgium Announcement and Call for Papers General Information : ILP-95 is the 5th annual meeting of researchers in and practitioners of inductive learning in first order logic. Previous meetings have been organized in Viana de Castello (91), Tokyo (92), Bled (93), and Bad Honnef (94). Program : The scientific program will include invited talks, presentations of selected papers, poster and demo sessions. The program will be complemented by and overlap with an area meeting on Knowledge Representation and Reasoning of the ESPRIT Network of Excellence Compulog from 6-8 September 1995. It is our intention to have Wednesday 6 September recognized as a joint workshop of the ESPRIT Networks of Excellence in Computational Logic (Compulog) and Machine Learning (MLnet). Further information will become available in January. Submission of Papers : ILP solicits papers addressing inductive machine learning within the representation offered by computational logic. ILP-95 especially wishes to encourage submissions of interest to both researchers in computational logic and inductive machine learning. This includes (but is not limited to) topics such as inductive synthesis of logic programs, applications of abductive logic programming to induction, meta-programming approaches to induction, applications of inductive logic programming to software engineering, deductive databases, database design, theory revision, etc. The proceedings will be distributed at the workshop, and will appear as a technical report of the K.U.Leuven, Computer Science Department. There are also plans for publishing a post-conference volume with a major publishing company. Full papers are limited to 5000 words. Submissions should be made in 5 copies to: Luc De Raedt (ILP-95) Department of Computer Science, Katholieke Universiteit Leuven Celestijnenlaan 200A, B-3001 Heverlee (Belgium) Whenever possible, authors should send their title page using email to ilp95@cs.kuleuven.ac.be. Important Dates : Submission deadline 1 May 1995 Notification of acceptance/rejection 1 July 1995 Camera ready copy 1 August 1995 Program Chair : Luc De Raedt (Katholieke Universiteit Leuven, Belgium). Program Committee : F. Bergadano (Italy) I. Bratko (Slovenia) W. Cohen (USA) S. D~zeroski (Slovenia) P. Flach (The Netherlands) P. Idestam-Almquist (Sweden) N. Lavra~c (Slovenia) S. Matwin (Canada) R. Mooney (USA) S. Muggleton (U.K.) M. Numao (Japan) D. Page (U.K.) J.R. Quinlan (Australia) A. Srinivasan (U.K.) C. Rouveirol (France) C. Sammut (Australia) S. Wrobel (Germany) To receive further information about ILP-95 : send email to ilp95@cs.kuleuven.ac.be, or see (via WWW) http://www.cs.kuleuven.ac.be/~ilp95/. ------------------------------ Date: Thu, 16 Mar 1995 10:19:58 +0100 From: Hendrik Blockeel Subject: Joint Workshop MLnet - CompulogNet ESPRIT Network of Excellence in Machine Learning ESPRIT Network of Excellence in Computational Logic Joint Workshop MLnet-CompulogNet Wednesday 6 September 1995, Leuven, Belgium General Information: In order to provide a forum for discussion between researchers active in the areas of Machine Learning and Computational Logic, the ESPRIT Networks of Excellence MLnet and Compulog organise a joint workshop on 6 September 1995. The workshop will overlap with the 5th International Inductive Logic Programming Workshop (4-6 September) as well as the 1995 Area Meeting on Knowledge Representation and Reasoning of the Compulog Network (6-8 September). Program: The scientific program will consist of invited talks and regular presentations. Invited speakers will include Stephen Muggleton (Oxford University) and Tony Kakas (University of Cyprus). Regular presentations will be selected by the program committee from those submitted to the 5th International Inductive Logic Programming Workshop and 1995 Area Meeting on Knowledge Representation and Reasoning based on their relevance to Machine Learning and Computational Logic. Program Committee: Luc De Raedt (Katholieke Universiteit Leuven, Belgium) Danny De Schreye (Katholieke Universiteit Leuven, Belgium) Nada Lavrac (Jozef Stefan Institute, Slovenia) Luis Moniz Pereira (Universidade Nova de Lisboa, Portugal) Information on participation: Luc De Raedt (local organiser) Department of Computer Science, K.U.Leuven Celestijnenlaan 200A, 3001 Heverlee, Belgium email: ilp95@cs.kuleuven.ac.be Registration and Accomodation (also for ILP-95 and KRR Area Meeting): Timshel Conference Services J.B. Van Monsstraat 8, B-3000 Leuven, Belgium email: info@timshel.be To receive further information about the joint MLnet-CompulogNet workshop, send email to ilp95@cs.kuleuven.ac.be, or see (via WWW) http://www.cs.kuleuven.ac.be/~ilp95/. ------------------------------ Subject: 2nd CFP: EPIA'95 Date: Wed, 01 Mar 95 16:36:56 +0000 From: njm@cupido.inesc.pt EPIA'95 - 2nd CALL FOR PAPERS SEVENTH PORTUGUESE CONFERENCE ON ARTIFICIAL INTELLIGENCE Funchal, Madeira Island, Portugal October 3-6, 1995 (Under the auspices of the Portuguese Association for AI) SUBMISSION DEADLINE: March 20, 1995 The Seventh Portuguese Conference on Artificial Intelligence (EPIA'95) will be held at Funchal, Madeira Island, Portugal, on October 3-6, 1995. As in previous issues ('89, '91, and '93), EPIA'95 will be run as an international conference, English being the official language. The scientific program encompasses tutorials, invited lectures, demonstrations, and paper presentations. Five well known researchers will present invited lectures. The conference is devoted to all areas of Artificial Intelligence and will cover both theoretical and foundational issues and applications as well. Parallel workshops on Expert Systems, Fuzzy Logic and Neural Networks, and Applications of A.I. to Robotics and Vision Systems will run simultaneously (see below). INVITED LECTURERS ~~~~~~~~~~~~~~~~~ In this issue of the conference,four special invited lectures will promote a debate on the very foundations of Artificial Intelligence, its approaches and results. It is an honour to announce the invited lecturers and the corresponding talks: "Why Human Brains Can't Really Think", by Marvin Minsky (MIT-USA); "Planning and Learning in Intelligent Agents", by Manuela Veloso (CMU-USA); "The Connectionist Paradigm and AI", by Borges de Almeida (IST-Portugal); "The Evolutionist Approach - Past, Present, and Future of AI", by Rodney Brooks (MIT-USA). TUTORIALS ~~~~~~~~~ In this issue of the conference, four tutorials will be delivered: "Artificial Life and Autonomous Robots", by Luc Steels (VUB AI Lab-Belgium); "Virtual Reality - The AI perspective", by David Hogg (Univ. of Leeds-UK); "Introduction to Artificial Intelligence", by Ernesto Costa (Univ. of Coimbra-Portugal); (in Portuguese) "Design of Expert Systems", by Ernesto Morgado (IST-Portugal); (in Portuguese) SUBMISSION OF PAPERS ~~~~~~~~~~~~~~~~~~~~ Authors must submit five (5) complete printed copies of their papers to the "EPIA'95 submission address". Fax or electronic submissions will not be accepted. Submissions must be printed on A4 or 8 1/2"x11" paper using 12 point type. Each page must have a maximum of 38 lines and an average of 75 characters per line (corresponding to the LaTeX article-style, 12 point). Double-sided printing is strongly encouraged. The body of submitted papers must be at most 12 pages, including title, abstract, figures, tables, and diagrams, but excluding the title page and bibliography. ELECTRONIC ABSTRACT ~~~~~~~~~~~~~~~~~~~ In addition to submitting the paper copies, authors should send to epia95-abstracts@inesc.pt a short (200 words) electronic abstract of their paper to aid the reviewing process. The electronic abstract must be in plain ASCII text (no LaTeX)) in the following format: TITLE: FIRST AUTHOR: <last name, first name> EMAIL: <email of the first author> FIRST ADDRESS: <first author address> COAUTHORS: <their names, if any> KEYWORDS: <keywords separated by commas> ABSTRACT: <text of the abstract> Authors are requested to select 1-3 appropriate keywords from the list below. Authors are welcome to add additional keywords descriptors as needed. Applications, agent-oriented programming, automated reasoning, belief revision, case-based reasoning, common sense reasoning, constraint satisfaction, distributed AI, expert systems, genetic algorithms, knowledge representation, logic programming, machine learning, natural language understanding, nonmonotonic reasoning, planning, qualitative reasoning, real-time systems, robotics, spatial reasoning, theorem proving, theory of computation, tutoring systems. REVIEW OF PAPERS ~~~~~~~~~~~~~~~~ Submissions will be judged on significance, originality, quality and clarity. Reviewing will be blind to the identities of the authors. This requires that authors exercise some care not to identify themselves in their papers. Each copy of the paper must have a title page, separated from the body of the paper, including the title of the paper, the names and addresses of all authors, a list of content areas (see above) and any acknowledgments. The second page should include the same title, a short abstract of less than 200 words, and the exact same contents areas, but not the names nor affiliations of the authors. This page may include text of the paper. The references should include all published literature relevant to the paper, including previous works of the authors, but should not include unpublished works of the authors. When referring to one's own work, use the third person. For example, say "previously, Peter [17] has shown that ...". Try to avoid including any information in the body of the paper or references that would identify the authors or their institutions. Such information can be added to the final camera-ready version for publication. Please do not staple the title page to the body of the paper. Submitted papers must be unpublished. PUBLICATION ~~~~~~~~~~~ The proceedings will be published by Springer-Verlag (lecture notes in A.I. series). Authors will be required to transfer copyright of their paper to Springer-Verlag. ASSOCIATED WORKSHOPS ~~~~~~~~~~~~~~~~~~~~ In the framework of the conference three workshops will be organized: Applications of Expert Systems, Fuzzy Logic and Neural Networks in Engineering, and Applications of Artificial Intelligence to Robotics and Vision Systems. Real world applications, running systems, and demos are welcome. CONFERENCE & PROGRAM CO-CHAIRS ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Carlos Pinto-Ferreira Nuno Mamede Instituto Superior Tecnico Instituto Superior Tecnico ISR, Av. Rovisco Pais INESC, Apartado 13069 1000 Lisboa, Portugal 1000 Lisboa, Portugal Voice: +351 (1) 8475105 Voice: +351 (1) 310-0234 Fax: +351 (1) 3523014 Fax: +351 (1) 525843 Email: cpf@kappa.ist.utl.pt Email: njm@inesc.pt PROGRAM COMMITTEE ~~~~~~~~~~~~~~~~~ Antonio Porto (Portugal) Lauiri Carlson (Finland) Benjamin Kuipers (USA) Luc Steels (Belgium) Bernhard Nebel (Germany) Luigia Aiello (Italy) David Makinson (Germany) Luis Moniz Pereira (Portugal) Erik Sandewall (Sweden) Luis Monteiro (Portugal) Ernesto Costa (Portugal) Manuela Veloso (USA) Helder Coelho (Portugal) Maria Cravo (Portugal) Joao Martins (Portugal) Miguel Filgueiras (Portugal) John Self (UK) Yoav Shoham (USA) Jose Carmo (Portugal) Yves Kodratoff (France) DEADLINES ~~~~~~~~~ Papers Submission: ................. March 20, 1995 Notification of acceptance: ........ May 15, 1995 Camera Ready Copies Due: ........... June 12, 1995 SUBMISSION & INQUIRIES ADDRESS ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ EPIA95 INESC, Apartado 13069 1000 Lisboa, Portugal Voice: +351 (1) 310-0325 Fax: +351 (1) 525843 Email: epia95@inesc.pt SUPPORTERS ~~~~~~~~~~ Banco Nacional Ultramarino Governo Regional da Madeira Instituto Superior Tecnico SISCOG - Sistemas Cognitivos INESC CITMA IBM TAPair Portugal PLANNING TO ATTEND ~~~~~~~~~~~~~~~~~~ People planning to submit a paper or/and to attend the conference or attend a workshop are asked to complete and return the following form (by fax or email) to the inquiries address standing their intention. It will help the conference organizers to estimate the facilities needed for the conference and will enable all interested people to receive updated information. +----------------------------------------------------------------+ | REGISTRATION OF INTEREST | | | | Title . . . . . Name . . . . . . . . . . . . . . . . . . . . | | Institution . . . . . . . . . . . . . . . . . . . . . . . . . | | Address1 . . . . . . . . . . . . . . . . . . . . . . . . . . . | | Address2 . . . . . . . . . . . . . . . . . . . . . . . . . . . | | Country . . . . . . . . . . . . . . . . . . . . . . . . . . . | | Telephone. . . . . . . . . . . . . . . Fax . . . . . . . . . . | | Email address. . . . . . . . . . . . . . . . . . . . . . . . . | | I intend to submit a paper (yes/no). . . . . . . . . . . . . . | | I intend to participate only (yes/no). . . . . . . . . . . . . | | I will travel with ... guests | +----------------------------------------------------------------+ ------------------------------ Date: Thu, 02 Mar 1995 12:45:02 +0001 From: Matja` Gams <Matjaz.Gams@ijs.si> Subject: CFP: INFORMATICA Papers are invited to the special issue of INFORMATICA; An International Journal of Computing and Informatics on: M I N D <> C O M P U T E R In this special issue we want to reevaluate the soundness of current AI research positions (especially the heavily disputed strong-AI paradigm) as well as pursue new directions aimed at achieving true intelligence. This is a brainstorming special issue about core ideas that will shape future AI. We are interested in critical papers representing all positions on the issues. The first part of this special issue will be a small number of invited papers, including papers by Winograd, Dreyfus, Michie, McDermott, Agre, Tecuci etc. Here we are soliciting additional papers on the topic. TOPICS: Papers are invited in all subareas and on all aspects of the above topic, especially on: - the current state, positions, and advancements achieved in the last 5 years in particular subfields of AI, - the trends, perspectives and foundations of natural and artificial intelligence, - strong AI versus weak AI and the reality of most current "typical" publications in AI, - new directions in AI. TIME TABLE AND CONTACTS: Papers in 5 hard copies should be received by May 15, 1995 at one of the following addresses (please, no e-mail/FAX submissions): North & South America: Marcin Paprzycki paprzycki_m@gusher.pb.utexas.edu Department of Mathematics and Computer Science University of Texas of the Permian Basin Odessa, TX 79762, USA Asia, Australia: Xindong Wu xindong@insect.sd.monash.edu.au Department of Software Development, Monash University Melbourne, VIC 3145, Australia Europe, Africa: Matjaz Gams matjaz.gams@ijs.si Jozef Stefan Institute, Jamova 39 61000 Slovenia, Europe E-mail information about the special issue is available from the above 3 contact editors. The special issue will be published in late 1995. FORMAT AND REVIEWING PROCESS: Papers should not exceed 8,000 words (including figures and tables but excluding references. A full page figure should be counted as 500 words). Ideally 5,000 words are desirable. Each paper will be refereed by at least two anonymous referees outside the author's country and by an appropriate subset of the program committee. When accepted, the authors will be asked to transform their manuscripts into the Informatica LaTeX style (available from ftp.arnes.si; directory /magazines/informatica). More information about Informatica and the Special Issue can be accessed through URL: ftp://ftp.arnes.si/magazines/informatica. ------------------------------ Date: Mon, 6 Mar 95 20:50:37 -0700 From: Jerome Soller <soller@asylum.cs.utah.edu> Subject: Utah Workshop on the Applications of Intelligent and Adaptive Systems The Third Annual Utah Workshop on the Applications of Intelligent and Adaptive Systems will occur on April 14 in Salt Lake City. This is the second year this workshop is a side session within the Joint Services Software Technology Conference (STC). This session is cosponsored by the Utah Cognitive Science Industrial Advisory Board. This side session focuses on the application of intelligent and adaptive systems to real-world problems. Knowledge-based systems, machine intelligence, natural language processing, pattern recognition, game theory, artificial neural networks and other techniques are discussed from an engineering, software development, and systems integration perspective. Jerome Soller, Ph.D. Workshop / Session Chairman soller@cs.utah.edu http://www.cs.utah.edu/~soller (801) 582-1565, x-2469 ------------------------------ End of ML-LIST (Digest format) **************************************** From pjs@aig.jpl.nasa.gov Fri Mar 17 21:48:13 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 17 Mar 95 21:48:09 -0600; AA04945 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Fri, 17 Mar 95 21:48:07 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa29513; 17 Mar 95 20:34:03 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa29511; 17 Mar 95 20:17:33 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04837; 17 Mar 95 20:17:11 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa02244; 17 Mar 95 12:08:02 EST Received: from [137.79.110.182] by CS.CMU.EDU id aa09915; 17 Mar 95 12:07:41 EST Received: by amorgos.jpl.nasa.gov (4.1/JPL-AIG-1.0) id AA02781; Fri, 17 Mar 95 08:59:53 PST Date: Fri, 17 Mar 95 08:59:53 PST From: "Padhraic J. Smyth" <pjs@aig.jpl.nasa.gov> Message-Id: <9503171659.AA02781@amorgos.jpl.nasa.gov> To: connectionists@cs.cmu.edu Subject: Summer student positions at JPL SUMMER POSITIONS AT THE JET PROPULSION LABORATORY (JPL) March 16th 1995 JPL is seeking applications from graduate students interested in summer positions (1995). Ideal candidates will have a background and interest in statistical pattern recognition, applied statistics, and image processing (or some subset of these topics). The work will include participation in ongoing projects for automated analysis of remote-sensing and sky-survey images, including both theoretical investigations and algorithm development. Candidates should be capable of implementing developed algorithms in a standard programming language such as C or within an environment such as MATLAB. This is an ideal opportunity for students wishing to get involved in the analysis of large high-dimensional datasets of scientific importance. Interested applicants should send a copy of their resume to: Padhraic Smyth JPL 525-3660 4800 Oak Grove Drive Pasadena, CA 91109. or email a postscript or ascii copy to: pjs@galway.jpl.nasa.gov From isabelle@research.att.com Fri Mar 17 21:48:14 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 17 Mar 95 21:48:12 -0600; AA04951 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Fri, 17 Mar 95 21:48:09 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab29547; 17 Mar 95 20:42:23 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab29515; 17 Mar 95 20:18:27 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04846; 17 Mar 95 20:17:46 EST Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa02726; 17 Mar 95 12:41:23 EST Received: from research.att.com by EDRC.CMU.EDU id aa03960; 17 Mar 95 12:40:20 EST Received: by research.att.com; Fri Mar 17 12:38 EST 1995 Received: from learnx (learnx-b) by big.info.att.com; id AA25122; Fri, 17 Mar 95 12:38:31 EST Posted-Date: Fri, 17 Mar 95 12:39:29 EST Message-Id: <9503171738.AA25122@big.info.att.com> Received: from globina by learnx (4.1/4.7) id AA27172; Fri, 17 Mar 95 12:39:29 EST Date: Fri, 17 Mar 95 12:39:29 EST From: Isabelle Guyon <isabelle@research.att.com> To: Connectionists@cs.cmu.edu #################################### REMINDER ################################# ###### M O N D A Y , M A R C H 2 0 T H D E A D L I N E ####### #################################### REMINDER ################################# /\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\ < ICANN industrial 1 day workshop: > < Neural network applications > < to DOCUMENT ANALYSIS and RECOGNITION > < Paris, October 1995 > \/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/ * Layout and logical structure analysis of documents. * Map drawing and understanding. * OCR and handwriting recognition (off-line and on-line). * Multimedia document processing. * Image/text retrieval, automated indexing. * User interfaces to electronic libraries. * Image/text compression. This workshop will be a forum for application researchers and developers to present their systems and discuss tabu subjects, including: - hybrid solutions, - solutions that work (don't know why), - solutions that do not work (though theoretically optimum), - hacks, tricks and miscellaneous occult methods, - marketing advantage/disadvantage of saying that there is a NN in the system. The condition of acceptance will not be the novelty of the algorithms but the existence of a working "money making" application or at least a working prototype with a path towards industrialization. The performance of the system should be measured quantitatively, preferably using known benchmarks or comparisons with other systems. As for regular scientific papers, every statement should be properly supported by experimental evidence, statistics or references. Demonstrations and videos are encouraged. *** Submission deadline of a 6 page paper = March 20, 1995 *** Send 4 paper copies to: Isabelle Guyon ---------------------- AT&T Bell Laboratories 955 Creston road Berkeley, CA 94708, USA Electronic formats available at: ftp lix.polytechnique.fr login: anonymous password : your e-mail address ftp> cd /pub/ICANN95/out For more informations on ICANN write to isabelle@research.att.com. From chris@orion.eee.kcl.ac.uk Sat Mar 18 10:54:42 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sat, 18 Mar 95 10:54:40 -0600; AA21036 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sat, 18 Mar 95 10:54:38 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa29547; 17 Mar 95 20:40:31 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa29515; 17 Mar 95 20:18:24 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04842; 17 Mar 95 20:17:25 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa02563; 17 Mar 95 12:34:59 EST Received: from orion.eee.kcl.ac.uk by CS.CMU.EDU id aa08962; 17 Mar 95 10:28:11 EST Received: from dunnock.eee (dunnock.eee.kcl.ac.uk) by orion.eee.kcl.ac.uk (4.1/SMI-4.1) id AA14235; Fri, 17 Mar 95 15:14:29 GMT Date: Fri, 17 Mar 95 15:14:29 GMT From: Chris Christodoulou <chris@orion.eee.kcl.ac.uk> Message-Id: <9503171514.AA14235@orion.eee.kcl.ac.uk> To: Connectionists@cs.cmu.edu, nn-london@dcs.kcl.ac.uk Subject: NN RIG Lecture Cc: trevor@orion.eee.kcl.ac.uk, chris@orion.eee.kcl.ac.uk IEEE Neural Networks Regional Interest Group Chairman: Trevor Clarkson (tgc@kcl.ac.uk) NN RIG LECTURE "Applications of Neural Nets and Fuzzy Logic in Communications Systems" by Dr Stamatios Kartalopoulos (VP IEEE Neural Networks Council) to be held at King's College London, Strand, London WC2 on Wednesday 29th March 1995 at 6.00pm Room 1B23 (Strand Building) All are welcome at this lecture SUMMARY Neural Networks and Fuzzy Logic have already found wide range applicability. The projection is that this trend will keep continuing. Although the notion of neural networks was to escape from the conventional computer, nevertheless, to date, many neural network applications still depend on the conventional computer; during learning or during normal operation. The all-neural network, independent from the conventional digital computer (during learning and operation), and outperforming a conventional computer in equivalent functionality with cost/performance as a metric, is yet to come. Currently, we see niche applications that address improvements in a specific area within a complex system. Most of the applications described fall in this category. Paradigms used today are math intensive; the neural network problem has been shifted from the unknown mental process to an optimization algorithmic problem using conventional math. I cannot believe that the human brain operates on equations to estimate and solve a problem, to recognize objects, or to make inferences. I cannot believe that the human brain solves the backpropagation algorithm, or any other algorithm when it is trained. What is needed are fresh ideas. Ideas that go beyond the current conventional paradigms. Ideas that emulate human thinking and map it on a network. Conventional math is good for modelling to use computer tools for emulation and simulation, for the time being. However, conventional math is a mental attractor that keeps pulling us back to conventional techniques. In short, there are many Challenges that make the future seem more exciting than ever. From jain@arris.com Sat Mar 18 10:54:47 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sat, 18 Mar 95 10:54:45 -0600; AA21042 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sat, 18 Mar 95 10:54:43 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ac29547; 17 Mar 95 20:44:18 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa29517; 17 Mar 95 20:19:18 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04851; 17 Mar 95 20:18:42 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa03079; 17 Mar 95 12:59:07 EST Received: from oyster.arris.com by CS.CMU.EDU id aa10391; 17 Mar 95 12:58:26 EST Received: from snug.arris.com by oyster.arris.com (4.1/SMI-4.0) id AA14744; Fri, 17 Mar 95 09:58:22 PST Received: by snug.arris.com (931110.SGI/930416.SGI.AUTO) for @oyster.arris.com:connectionists@cs.cmu.edu id AA01501; Fri, 17 Mar 95 09:58:20 -0800 Date: Fri, 17 Mar 95 09:58:20 -0800 From: Ajay Jain <jain@arris.com> Message-Id: <9503171758.AA01501@snug.arris.com> To: connectionists@cs.cmu.edu Subject: Position available: Arris Pharmaceutical Position available: Arris Pharmaceutical Corporation Job Title: Scientist, Computational Sciences Arris Pharmaceutical is a South San Francisco-based pharmaceutical company of about 85 people (NASDAQ: ARRS). We are dedicated to the efficient discovery and development of orally-active human therapeutics. Computational approaches to drug discovery form one of our core technologies, and we have developed novel techniques for computer-aided drug design that rely ideas from machine learning, computational geometry, chemistry, and physics. Job description and requirements: Working as a member of the Computational Sciences Department, perform applied research in computational drug design, particularly in the areas of flexible molecular docking, three-dimensional quantitative structure-activity prediction, flexible molecular database screening, and de novo ligand design. The position requires a PhD in Computer Science with significant research experience in computational geometry, machine learning, pattern recognition, or related fields. Formal training in organic chemistry is also required. The ideal candidate will have demonstrated success in applied research on non-toy problems requiring understanding of the underlying problem domain. Proficiency in C or C++ is also required. Please send your resume with the names and addresses of three references to me (address below). Some publications that are illustrative of work in our group are listed below: A. N. Jain, N. L. Harris, and J. Y. Park. Quantitative Binding Site Model Generation: Compass Applied to Multiple Chemotypes Targeting the 5HT1A Receptor. Journal of Medicinal Chemistry. In press (appearing very soon). A. N. Jain, T. G. Dietterich, R. L. Lathrop, D. Chapman, R. E. Critchlow, B. E. Bauer, T. A. Webster, and T. Lozano-Perez. Compass: A shape-based machine learning tool for drug design. Journal of Computer-Aided Molecular Design 8(6): 635-652, 1994. A. N. Jain, K. Koile, D. Chapman. Compass: Predicting biological activities from molecular surface properties; performance comparisons on a steroid benchmark. Journal of Medicinal Chemistry 37: 2315-2327, 1994. T. G. Dietterich, A. N. Jain, R. L. Lathrop, and T. Lozano-Perez. A comparison of dynamic reposing and tangent distance for drug activity prediction. In Advances in Neural Information Processing Systems 6, ed. J. D. Cowan, G. Tesauro, and J. Alspector. San Francisco, CA: Morgan Kaufmann. 1994. ------------------------------------------------------------------------ Dr. Ajay N. Jain Senior Scientist, Computational Sciences Email: jain@arris.com Arris Pharmaceutical Corporation Phone: (415) 737-1651 385 Oyster Point Boulevard, Suite 3 FAX: (415) 737-8590 South San Francisco, CA 94080 From AIHENP95@pisa.infn.it Sat Mar 18 10:54:57 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sat, 18 Mar 95 10:54:50 -0600; AA21048 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sat, 18 Mar 95 10:54:46 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ae29547; 17 Mar 95 20:48:30 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa29519; 17 Mar 95 20:20:19 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04860; 17 Mar 95 20:19:25 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa08064; 17 Mar 95 18:16:50 EST Received: from VSPICB.pi.infn.it by CS.CMU.EDU id aa13750; 17 Mar 95 18:12:23 EST Date: Fri, 17 Mar 1995 21:30:01 +0100 (WET) From: AIHENP95@pisa.infn.it To: giovanni@ingfi1.ing.unifi.it, castellano@ba.infn.it, tomasicchio@ba.infn.it, peiyj@vxcern.cern.ch, GERARD@VAXPV.PV.INFN.IT, "VAXPG::FALCIAI"@pisa.infn.it, ippe.asku@rbv.rosmail.msk.su, AW@LNS62.LNS.CORNELL.EDU X-Vmsmail-To: @SUPERLIST_LEFTOVERS Message-Id: <950317213002.6340022f@pisa.infn.it> Subject: Fourth Mailing - AIHENP95 Pisa, 3-8 April 1995 _______________________________________________________________________________ FOURTH INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING AND ARTIFICIAL INTELLIGENCE FOR HIGH ENERGY AND NUCLEAR PHYSICS AIHENP95-Pisa Pisa (Tuscany), Italy 3 - 8 April, 1995 --------- FOURTH MAILING ---------- ---Workshop Program---Participant Information--- _______________________________________________________________________________ INTERNATIONAL SCIENTIFIC ADVISORY COMMITTEE S. R. Amendolia INFN & Univ. Sassari Pisa I G. Auger GANIL Caen F K. H. Becks Bergische Univ. Wuppertal D O. Benhar INFN Rome I R. Brun CERN CN Geneva CH B. Denby INFN Pisa I F. Etienne CPPM Marseille F R. Gatto Geneva Univ. Geneva CH G. Gonnet ETHZ Zurich CH M. Green Royal Holloway Col. Egham Surrey GB V. Ilyin Moscow University Moscow RU F. James CERN Geneva CH A. Kataev INR Moscow RU P. Kunz SLAC Stanford USA M. Kunze Ruhr University Bochum D C. S. Lindsey KTH Stockholm S V. Matveev INR Moscow RU K. McFarlane CEBAF/Norfolk Newport News USA R. Odorico Univ. of Bologna Bologna I D. Perret-Gallix LAPP Annecy F C. Peterson Lund University Lund S B. Remaud IN2P3 Paris F E. Remiddi Univ. of Bologna Bologna I P. Ribarics MPI Munich D M. Sendall CERN ECP Geneva CH Y. Shimizu KEK Tsukuba JP D. Shirkov JINR Dubna RU A. Smirnitsky ITEP Moscow RU R. Tripiccione INFN Pisa I M. Veltman Univ. of Michigan Ann Arbor USA J. Vermaseren NIKHEF-H Amsterdam NL C. Vogel CISI Paris F E. Wildner CERN PS Geneva CH DEAR COLLEAGUES: This is the Fourth Mailing for the 1995 edition of the AIHENP worskshop series, containing the Workshop Program, Further Information for Participants, and the Registration/Accommodation forms for those of you who may not yet have turned them in. The LaTeX file for preparation of camera ready manuscripts is not included here but is still available via WWW at the URL's shown below. The page limit is 6 pages for parallel papers and 8 pages for plenary papers. The organizing committee can also supply a copy on request. The completed papers are to be brought to the workshop. WWW URL's for viewing AIHENP95 Information: http://www.cern.ch/Physics/Conferences/C1995/Overview.html http://www1.cern.ch/NeuralNets/nnwInHep.html We on the organizing committee look forward to seeing you in Pisa very soon! Bruce Denby Conference Chairman For the International Advisory Committe and Local Organizing Committee ABOUT AIHENP ------------ The AIHENP series workshops are intended primarily for scientists working in fields related to High Energy and Nuclear Physics. The AIHENP series began in Lyon, France, in March 1990, and has subsequently been sited in La Londe les Maures, France, in January 1992, and in Oberammergau, Germany, in October 1993. The workshops have always been less formal than full conferences, stressing *new* results and ideas, and with sufficient time allowed for spontaneous discussions to develop. As in the past, the 1995 workshop will consist of plenary sessions and three parallel sessions covering our three subgroups, 1) SOFWARE ENGINEERING 2) ARTIFICIAL INTELLIGENCE AND NEURAL NETS 3) SYMBOLIC MANIPULATION along with tutorials and demonstrations, poster session, and industrial booths. Tutorials this year include: INTRODUCTION TO FUZZY LOGIC FOR HIGH ENERGY PHYSICS; PARTICLE SEARCHES WITH NEURAL NETWORKS; INTRODUCTION TO C AND OBJECT ORIENTED PROGRAMMING FOR PHYSICISTS. We have also invited a few experts from other fields to come and give keynote talks which should give us some new perspectives. This year, for example, we have talks on SPACE APPLICATIONS OF NEURAL NETWORKS and COMMERCIAL APPLICATIONS OF NEURAL NETWORKS, the latter of which will be given by the President of the European Neural Networks Society, Prof. Francoise Fogelman, of SLIGOS, Paris, France. Industrial Exhibits confirmed are: IBM (Rome), Spring (Rome), MACS (Pisa, CNAPS Hardware), and Siemens (Munich/Vienna, SYNAPSE Hardware). The workshop is also support by Apple Computer, Alenia, and CAEN. FURTHER INFORMATION FOR PARTICIPANTS ------------------------------------ All organizational details except the scientific program are being handled by TRE EMME CONGRESSI in Pisa. Their official registration forms and information follow at the end of this document. YOUR TRE EMME REGISTRATION FORM IS YOUR ONLY OFFICIAL REGISTRATION FOR THE WORKSHOP. Pisa Airport is only about one kilometer from town center and has daily connections to several international airports (Paris, London, Frankfort, etc.) and to national airports of Rome and Milan. Pisa may also be reached easily by train via Milan, Rome, Florence, or Turin. There are taxi stands at the airport and train station. A typical taxi fare within town is about 10.000 lira. Pisa is a small city and often walking is the best way to get around. The Palazzo dei Congressi is within walking distance of all workshop hotels. Traffic and especially parking in Pisa are difficult. Rental cars are not recommended. The Worskhop Telephone Numbers (DURING THE WORKSHOP ONLY) will be: +39 50 598.139 telephone +39 50 598.112 fax A limited number of terminals will be available for checking electronic mail, etc., during the workshop. Poster sessions and Industrial Exhibits will run continuously during AIHENP95. Posters can be mounted or removed at any time during the workshop. Presenters of posters are encouraged to be present at their posters from 13:30 - 14:00 and from 19:00 - 20:00 for viewing and questions. --------------------------------- CUT HERE ------------------------------------ +-----------------------------------------------------------------------+ | AIHENP95 Workshop Mini-Schedule Pisa 3-8 April 1995 | +-----------------------------------------------------------------------+ | KEY: A1 = First "AI" sess. (Main Auditorium) | | A2 = Second "AI" sess. (Pacinotti Room) | | SM = Sym. Manip. sess. (Fermi Room) | | SE = Soft. Eng. sess. (Pacinotti Room) | | | | (Plenary Talks in Main Auditorium) | | (User Terminals in Auletta "A") | | (Poster Sessions and Industrial Exhibitions run continuously) | | (Posters manned 13:30-14:00, 19:00-20:00) | +-----+----------+----------+----------+----------+----------+----------+ |Sess.| Mon 3 | Tue 4 | Wed 5 | Thu 6 | Fri 7 | Sat 8 | +-----+----------+----------+----------+----------+----------+----------+ |08:30| -09:30- | | | | |Par. Sess.| | |Local Org.| Intro & | Parallel | Parallel | Parallel | A1-SM-SE | |Morn.|Committee | Plenary | Sessions | Sessions | Sessions | -09:30- | | | Meeting | Talks | A1-SM-SE | A1-SM-SE | A1-SM-SE | Summary | |12:30| Palazzo | | | | | Talks | +-----+----------+----------+----------+----------+----------+----------+ |Meal?| No | Lunch | Lunch | Lunch | Lunch | No | +-----+----------+----------+----------+----------+----------+----------+ |14:00| -16:00- | Plenary | | | | | | |Registr'n.| Talks | Parallel | Parallel | Parallel | Workshop | |Aft. | Begins | -15:00- | Sessions | Sessions | Sessions | Ends | | |Palazzo di|Par. Sess.| A1-SM-A2 | A1-SM-A2 | A1-SM-SE | | |19:00| Congressi| A1-SM-SE | | | | | +-----+----------+----------+----------+----------+----------+----------+ | |**18:00** | | -20:30- | -19:00- | | | | Welcome | Special | Dinner | Advisory | Special | |Eve. | Cocktail | Talks | Royal |Committee | Talks | | |Palazzo di| | Victoria | Meeting | | | | Congressi| | Hotel | Palazzo | | +-----+----------+----------+----------+----------+----------+ --------------------------------- CUT HERE ------------------------------------ ========================================================================= AIHENP95 PISA WORKSHOP PROGRAM 3-8 APRIL 1995 PALAZZO DEI CONGRESSI, PISA, ITALY ========================================================================= WELCOME CEREMONIES 3 April Monday 18:00 - 20:00 ------------------------------------------------------------------------- Welcoming Addresses: Giuseppe Pierazzini, Director, INFN Sezion di Pisa Francoise Fogelman, President, European Neural Network Society ========================================================================= PLENARY SESSION 4 April Tuesday 08:30 - 15:00 ========================================================================= 4 April Tuesday Morning 08:30 - 12:30 Chair: TBA 08:30 WELCOME TO AIHENP95 Pisa - Bruce Denby (INFN Pisa) Workshop Chairman 08:45 SPACE APPLICATIONS OF - Thomas Lindblad (KTH Stockholm) NEURAL NETWORKS 09:45 COMMERCIAL APPLICATIONS OF - Francoise Fogelman (SLIGOS, Paris) NEURAL NETWORKS (President, European Neural Network Society) 10:45 STATE OF THE ART IN SYMBOLIC - TBA MANIPULATION 11:45 INTRODUCTION TO C AND OBJECT - P. Murat (ITEP Moscow/INFN Pisa) ORIENTED PROGRAMMING FOR HIGH ENERGY PHYSICISTS 4 April Tuesday Afternoon 14:00 - 15:00 Chair: TBA 14:00 STATE OF THE ART IN SYMBOLIC - TBA MANIPULATION ========================================================================= PARALLEL SESSIONS 4-7 April ========================================================================= "AI" SESSION: NEURAL NETWORKS, FUZZY LOGIC, EXPERT SYSTEMS, LANGUAGES, GENETIC ALGORITHMS, ETC. ------------------------------------------------------------------------- 4 April Tuesday (afternoon) 15:00 - 19:00 ****** Survey of AI Methods in Physics ****** Chair: TBA 15:00 - J. Moeck (MPI Munich, Ge.) "Artificial Neural Networks as a Second-Level Trigger at the H1 Experiment -- Performance Analysis and Results --" 15:30 - S. Westerhof(Wuppertal, Ge.) "Application of Neural Networks in TeV Gamma-Ray Astronomy" 16:00 - C. David (Univ. Nantes, Fr.) "Neural Networks in Theoretical Nuclear Physics" 16:30 - break (30 min) 17:00 - TBA "Tutorial: Intro. to Fuzzy Logic" 17:30 - E. Gandolfi (Univ. Bolgna) "Fuzzy Logic Applications in HEP" 18:00 - G. Stimpfle-Abele (Univ. Barcelona, Spain) "Tutorial: Neural Nets for Particle Searches" ----------------------------------------------------------------------- 5 April Wednesday (morning) 8:30 - 12:30 ****** Triggering, Real-time and Hardware AI Systems ****** Chair: TBA 8:30 - C. Loomis (Rutgers, US) "Using an Analog Neural Network to Trigger on Tau Leptons at CDF" 9:00 - S. Vlachos (Univ. Basel,Switzerland) "A neural network trigger system for the CP-LEAR experiment" 9:30 - R. Nobrega (CERN) "A Neural Network Trigger with a RICH Detector" 10:00 - L. Lundheim (CERN) "A Programmable Active Memory Implementation of a Neural Network for Second Level Triggering in ATLAS" 10:30 - break (30 min) ****** Multivariate Analysis and Neural Networks ****** 11:00 - C. Peterson (Lund, Sweden) "Determining Dependency Structures and Estimating Nonlinear Regression Errors without Doing Regr. 11:45 - J.Proriol (Clermont-Ferrand, Fr.) "Multimodular Neural Networks for the Classification of High Energy Events" 5 April Wednesday (evening) 14:00 - 19:00 +++++++ AI Parallel Session I +++++++ ****** Multivariate Analysis and Neural Networks ****** Chair: TBA 14:00 - Y. Wang (CERN) "Neural Network: A Powerful Tool for Classification" 14:30 - Ll. Garrido (Univ. Barcelona) "Using Neural Networks to enhance signal over background: The top--quark search" 15:00 - Tariq Aziz (CERN) "Heavy Flavour Tagging from hadronic Z decays using Neural Network Technique" 15:30 - break (30 min) 16:00 - H. E. Miettinen (Rice Univ., USA) "Top Quark Search with Multivariate Probability Estimates and Neural Networks" 16:30 - V.V.Ivanov (Dubna, Russia) "Input Data for a Multilayer Perceptron in the Form of Variational Series" 17:00 - R. Sinkus (Univ. Hamburg, Ge) "A novel approach to error function minimization for feedforward neural networks" 17:30 - D.Steuer (Univ. Ilmenau, Ge.) "The use of adaptive recursive estimation methods for acceleration of backpropagation learning algorithm" 18:00 - J. Wroldsen (Gjovik College, Norway) "A Robust Algorithm for Pruning Neural Networks" 18:30 - P. Fuchs (Lab. Saturne, Fr.) "The development of neural network algorithms with LICORNE - a commercial software tool for data analysis andimage processing" 5 April Wednesday (evening) 14:00 - 19:00 +++++++ AI Parallel Session II +++++++ ****** Genetic, Evolutionary and Cellular Automata Algorithms ****** Chair: TBA 14:00 - G. Organtini (Univ. Rome) "Using Genetics in Particle Physics" 14:30 - M. Kunze (Ruhr Univ. at Bochum, Ge) "Application of neural networks and a genetic algorithm in the analysis of multi particle final states" 15:00 - C. Busch (Univ. Wuppertal, Ge.) A Very Tentative Approach Towards the Problem of Adjusting Monte Carlo Generator Parameters by Means of the Evolution Strategy" 15:30 - break (30 min) 16:00 - H.M.A. Andree (Utrecht, Nl) "The optimisation of feed-forward neural networks by means of genetic algorithms" 16:30 - R. Berlich (Ruhr Univ. at Bochum, Ge) "Training neural networks using evolutionary strategies" 17:00 - M.Casolino (Univ. Rome) "A Cellular Automaton to Filter Noise in High Energy Physics Particle Tracks" 17:30 - G. Ososkov (for E.A.Tikhonenko) (Dubna, Russia) "New Random Number Generator on the Base of Cellular Automaton Suitable for Parallel Implementing" 18:00 - M. Kunze (Ruhr Univ. at Bochum, Ge) "Growing Cell Structures" 18:30 - Spare slot ----------------------------------------------------------------------- 6 April Thursday (morning) 8:30 - 12:30 ****** Triggering, Real-time and Hardware AI Systems ****** Chair: TBA 8:30 - D. Goldner (Univ. Dortmund, Ge.) "Artificial Neural Networks as a Level-2 Trigger for the H1 Experiment" 9:00 - T. T. Tong (DESY) "Using a high speed analog neural network chip in the first level R-Z trigger of the H1-Experiment at HERA". 9:30 - R. Odorico (Univ. Bologna, It.) "Trigger for Beauty Employing them MA16 Neural Microprocessor" 10:00 - A.W.Lodder (Univ. Utrecht, Nl) "The Implementation of Feed-Forward Neural Networks on the CNAPS system" 10:30 - break (30 min) 11:00 - I. Lazzizzera(INFN Trento, It.) "TOTEM: a highly parallel chip for triggering applications with inductive learning based on the Reactive Tabu Search" 11:30 - C. S. Lindsey (KTH, Sweden) "Experience with the IBM ZISC Neural Network Chip" 12:00 - Th. Lindblad (KTH, Sweden) "Evaluation of a RBF/DDA Neural Network" 6 April Thursday (evening) 14:00 - 19:00 +++++++ AI Parallel Session I +++++++ ****** Neural Networks in Offline Analysis ****** Chair: TBA 14:00 - J. Proriol (Clermont-Ferrand, Fr.) "Tagging Higgs Boson in Hadronic LEP2 events with Neural Networks" 14:30 - Oliver Cooke (CERN) Determining the Primary Parton Charge in a Jet 15:00 - A.A. Handzel (Weizmann Inst. Israel) "Comparison of Three Neural Network Algorithms in a Data Analysis Classification Task" 15:30 - break (30 min) 16:00 - A. de Angelis (CERN) "Tagging the s quark in the hadronic decays of the Z" 16:30 - C. Guicheney (U. Blaise Pascal, Fr.) "Using Neural networks and Fuzzy Logic in the Search of the Higgs" 17:00 - R. Sparvoli (Univ. Rome) "Gamma Ray Energy Discrimination with Neural Networks" 17:30 - M.Casolino (Univ. Rome) "Optimization of a Neural Network for Particle Classification in a Segmented Calorimeter" 18:00 - J.S. Lange (TU Dresden, Ge.) "Cluster Gravitation - An Extension to the Kohonen Algorithm for the Identification of the pp-Bremsstrahlung at COSY 18:30 - W. Tajuddin (Univ. Malaya, Malaysia) "Understanding Event Classification by Multilayer Perceptrons" 6 April Thursday (evening) 14:00 - 19:00 +++++++ AI Parallel Session II +++++++ ****** Tracking ****** Chair: TBA 14:00 - Baginyan S. A. (Dubna, Russia) " Controlled Neural Network Application in TRACK-MATCH Problem" 14:30 - D.L. Bui(DESY) "Application of the elastic arms approach to track finding in the Forward Tracking Detector of H1-Experiment at HERA" 15:00 - C.A. Byrd (Univ. Arkansas, USA) "A Rough-Set-Based Grouping Algorithm for Particle Tracking in High Energy Physics" 15:30 - break (30 min) 16:00 - M. Fuchs (IKF Frankfurt, Ge) "A 3-dimensional Transformation Tracker for raw TPC-data" 16:30 - G. A. Ososkov (Dubna, Russia) "Applications of cellular automata and neural networks for particle track search" 17:00 - N. Stepanov (ITEP, Russia) "Towards the fast trackfinder algorithm for the CMS experiment at LHC" 17:30 - W. Tajuddin (Univ. Malaya, Malaysia) "Structured Feed- Forward Neural Network for Track Finding" 18:00 - G. Stimpfle-Abele (Univ. Barcelona, Spain) "Determination of Beam Parameters in LEAR with Neural Nets" 18:30 - "L. Santi (Udine, Italy) "Fast Reconstruction of the Antiproton Annihilation Vertex at Intermediate Energies, Based on a Rotor Neural Network" ----------------------------------------------------------------------- 7 April Friday (morning) 8:30 - 12:30 ****** Triggering, Real-time and Hardware AI Systems ****** Chair: TBA 8:30 - G. Pauletta (Univ. Udine, It.) "Pulse Shape Discrimination with a Neural Network" 9:00 - G.B.Pontecorvo (Dubna, Russia) "On a Possible Second Level Trigger for the Experiment DISTO" 9:30 - J.M. Seixas (CERN) "A Neural Second-Level System Based on Calorimetry and Principal Components Analysis" 10:00 - M. Masetti (Univ. Bologna, It.) " Design of VLSI realization of a very fast Fuzzy processor for trigger applications in HEP" 10:30 - break (30 min) 11:00 - G. G. Athanasiu (Univ. Crete) "Retinal Neurocomputing Principles for Real Time Track Identification" 11:30 - J. Seixas (Rio de Janeiro) "Implementing a Neural Second Level Trigger System on a Fast DSP: The Feature Extraction Problem" 12:00 - D. Salvatore (Univ. Pisa, It.) "Neuroclassifier Chip for Vertex Detection" 7 April (evening) 14:00 - 19:00 ****** Adaptive and Symbolic Methods in Offline Analysis ****** Chair: TBA 14:00 - D'Agostini (Univ. Rome) "A Multidimensional Unfolding Method Based on Bayes' Theorem" 14:30 - R. Sinkus (Univ. Hamburg, Ge) "Neural network based electron identification in the ZEUS detector" 15:00 - D. Falciai (Univ. Perugia, Italy) "Electron Identification with Neural Network at SLD" 15:30 - break (30 min) 16:00 - K. A. Gernoth "Neural Network Models of Nuclear Systematics" 16:30 - G. Tomasicchio (Bari) "An object oriented approach to design symbolic and connectionist systems in HEP" 17:00 - Th. Flor, (Univ. Ilmenau, Ge.) "Integration of symbolic rule based and subsymbolic neural net based information processing in a multi paradigm knowledge based system" 17:30 - E. Bubelev (for V.M.Severyanov) (Dubna, Russia) "Artificial Neural Networks Usage for Recognition of Poincare' Imaginable Statistical Bodies in Non-Euclidean High Energy Physics" 18:00 - Giulio D'Agostini (Univ. Rome) "On the Use of the Covariance Matrix to Fit Correlated Data" 18:30 - V.Il. Tarasov. (Nucl. Safety Inst. Russia) "The statistical analysis of pollution 137-Cs in settlements Russian Chernobyl Zone" ----------------------------------------------------------------------- 7 April Saturday (morning) 8:30 - 09:30 Chair: TBA 08:30 - Spare slot 09:00 - A. Smirnitsky (ITEP) "Summary of AIHENP-Moscow Meeting, AI Section" ----------------------------------------------------------------------- ****** "AI" Posters 4-8 April Continuous****** (Posters can be mounted or removed at any time during the workshop. Presenters of posters are encouraged to be present at their posters from 13:30 - 14:00 and from 19:00 - 20:00.) V.V. Ivanov, (Dubna) "Multidimensional data analysis based on the omega-n-k criteria and multilayer perceptrons" Th. Flor, (Univ. Ilmenau, Ge.) "Using advantages of ODBS and CORBA-standard for modelling of objectoriented distributed knowledge based systems in VisualWorks/Distributed-Smalltalk" Th. Flor, (Univ. Ilmenau, Ge.) "Multi paradigm inference system VISIS as knowledge based framework within an objectoriented medical information modell" J. Proriol (Clermont-Ferrand, Fr.) "Selection of Variables for Neural Network Analysis" V.M.Severyanov (Dubna, Russia) "Application of Artificial Neural Networks to Low pT Muon Identification in ATLAS Hadron Calorimeter" V.M.Severyanov (Dubna, Russia) "Calculation and Interactive Construction of Flat Fractals Using Neural Networks" W. Tajuddin (Univ. Malaya, Malaysia) "Track Classification and Enumeration in Solid State Nuclear Track Detectors usinc Cellular Automata" T. Yakhno (Novosibirsk, Russia) "TallTalk: Combining OO-paradigm and Constraint Programming for Knowledge Representation" ========================================================================= SYMBOLIC MANIPULATION SESSION: ------------------------------------------------------------------------- 5 April (morning) 8:30 - 12:30 Chair: TBA SUBGROUP C-2: Full automation systems 8:30 - Y.Kurihara (KEK, Japan) "Catalogue of electron-positron annihilation processes using GRACE system" 9:00 - A.Pukhov (INP MSU, Moscow, Russia) "Automatic calculation of amplitudes in the CompHEP package" 9:30 - M.Jimbo (Tokyo Management College, Japan) "A system for the automatic computation of cross sections including SUSY particles" 10:00 - J.-X.Wang (IHEP, Beijing, China) "Automatic calculation of loop processes" 10:30 - break (30 min) SUBGROUP C-3: programs and methods 11:00 - L.Surguladze (Univ. of Oregon, USA) "Computer programs for high order analytical perturbative calculations in high energy physics" 11:30 - A.Grozin (Open Univ., UK) "Multiloop calculations in heavy quark effective theory" 12:00 - J.Gracey (Univ. Durham, UK) "Large N_f methods for computing the perturbative structure of deep inelastic scattering" 5 April (evening) 14:00 - 19:00 Chair: TBA SUBGROUP C-1: Languages and Tools 14:00 - M.Sofroniou (Univ. Bologna - Wolfram Research Ltd.) "Strategies for effective numerical computations using Mathematica" 14:30 - E.Remiddi (Univ. Bologna, Italy) "GOLEM: a language (and a program) for writing (and checking) mathematical proofs" 15:00 - S.Capitani ("La Sapienza", Roma, Italy) "Use of SCHOONSHIP and FORM codes in perturbative lattice calculations" 15:30 - break (30 min) SUBGROUP C-2: symbolic-numeric interface 16:00 - K.Kato (Kogakuin Univ., Tokyo, Japan) "Numerical approach to two-loop integrals with masses" 16:30 - D.Kovalenko (INP MSU, Moscow, Russia) "Automatic generation of kinematics for exclusive high energy collisions", 17:00 - T.Ishikawa (KEK, Japan) "Symbolic code optimization of polynomials" 17:30 - F.Tkachov (INR, Moscow, Russia) "MILXy Way: How much better than VEGAS can one integrate in many dimensions?" ----------------------------------------------------------------------- 6 April (morning) 8:30 - 12:30 Chair: TBA SUBGROUP C-3: methods and algorithms 8:30 - A.Kotikov (LAPP, Annecy, France) "Gegenbauer polynomial technique: the second birth" 9:00 - A.Czarnecki (Univ. Karlsruhe, Germany) "A new method of computing two-loop Feynman integrals with massive particles" 9:30 - L.Avdeev (JINR, Russia) "Recurrence relations for evaluating three-loop vacuum diagrams with a mass" 10:00 - V.Ilyin (INP MSU, Russia) "New method of reducing vacuum multiloop Feynman integrals to master ones" 10:30 - break (30 min) SUBGROUP C-2: Feynman diagram generation 11:00 - T.Kaneko (Meiji-Gakuin Univ., Yokohama, Japan) "A Feynman-graph generator for any order of coupling constants", SUBGROUP C-1: Graphical interface 11:30 - D.Juriev (Ecole Normale Superieure, Paris, France-Russia) "Some aspects of interactive visualization of 2D quantum field theory: algebra, geometry and computer graphics" 12:00 - I.Nikitin (IHEP, Protvino, Russia) "Visual study of complicated phenomena in string theory" 6 April (evening) 14:00 - 19:00 Chair: TBA SUBGROUP C-4: QFT and SUSY etc. 14:00 - C.Schubert (DESY-Zeuthen, Germany) "Programming the string-inspired method: main computational problems" 14:30 - A.Lanyov (JINR, Russia) "Calculation of heat-kernel coefficients and usage of computer algebra" 15:00 - A.Candiello ("Galileo Galilei", Padova, Italy) "WBase: a C package to reduce tensor products of Lie algebra representations" 15:30 - break (30 min) SUBGROUP C-2: Applications 16:00 - N.Nakazawa (Kogakuin Univ., Tokyo, Japan) "Automatic Calculation of 2-loop Weak Corrections to Muon Anomalous Magnetic Moment" 16:30 - O.Tarasov (Biellefeld Univ., Germany - JINR, Russia) "One-loop radiative correction to the process gamma-gamma -> t bar-t" 17:00 - I.Akushevich (Belorussia Univ., Minsk, Belorussia) "The calculation of contribution of double photon bremstrahlung to polarized assymetry by using symbolic manipulation technique" SUBGROUP C-3: results 17:30 - A.Pivovarov (INR, Moscow, Russia) "On the positronium lifetime calculation" 18:00 - A.Davydychev (Bergen Univ., Norway) "New results for two-loop diagrams with massive and massless particles" 18:30 - S.Larin (INR, Moscow, Russia) "Computation of the high order QCD corrections to physical quantities" ----------------------------------------------------------------------- 7 April (morning) 8:30 - 12:30 Chair: TBA SUBGROUP C-3: Methods and algorithms 8:30 - J.Fleischer (Biellefeld Univ., Germany) "Calculation of two-loop vertex functions from their small momentum expansion" 9:00 - D.Kreimer (Univ. Tasmania, Australia) "Feynman diagram calculations - from finite integral representations to knotted infinities" 9:30 - T.van Ritbergen (NIKHEF, The Netherlands) "The calculation of various quantities within perturbation theory at the 3 and 4-loop order" 10:00 - C.Schubert (DESY-Zeuthen, Germany) "Programming the string-inspired method: methods and algorithms for the evaluation of higher order corrections" 10:30 - break (30 min) SUBGROUP C-3: Applications 11:00 - G.Pivovarov (INR, Moscow, Russia) "The gauge for atom-like bound states" 11:30 - P.Baikov (INP MSU, Moscow, Russia) "Three loop vacuum polarization and four loop muon anomalous magnetic moment" 12:00 - N.Ussykina (INP MSU, Moscow, Russia) "Cracking double boxes: a progress report" 7 April (evening) 14:00 - 19:00 Chair: TBA SUBGROUP C-4: other fields 14:30 - E.Wildner (CERN) "Integration of symbolic computing in accelerator control" 15:00 - E.S.Cheb-Terrab (Univ. Rio de Janeiro, Brazil) "A computational strategy for the analytical solving of partial differential equations" 15:30 - break (30 min.) 16:00 - P.Pronin (MSU, Moscow, Russia) "New tensor package for REDUCE" SYMBOLIC SECTION RESUME 16:30 - Summary talk on "Moscow one-day session" Symb. Manip. Section 17:00 - Round Table discussion ========================================================================= SOFTWARE ENGINEERING SESSION ------------------------------------------------------------------------- 4 April Tuesday Afternoon 15:00 - 19:00 Chair: TBA **Object oriented programming and C++** 15:00 - R. Petravick (Fermilab) "Software engineering methods and standards used in the Sloan Digital Sky Survey" ------------------------------------------------------------------------------ 5 April Wednesday Morning 08:30 - 12:30 Chair: TBA **Online applications; Graphics and Interfaces** 08:30 - 09:00 - I. Legrand (CERN) "Design and simulation of the online trigger and reconstruction farm for the HERA-B experiment" 09:30 - J. Cramer (Washington/Max Planck) "SControl, a program for slow control of large physics experiments" 10:00 - C. Maidantchik (CERN/Rio de Janeiro) "Quality assurance on coupling DAQ software modules" 10:30 - Break (30 min.) 11:00 - V. Monich (Novosibirsk) "ZTREE - Data analysis and graphics display system for the CMD-2 detector" 11:30 - Y. Merzlyakov (Novosibirsk) "Software design of a distributed heterogeneous front end DAQ" 12:00 - V. Fine (Dubna) "Using the Windows/NT operating system for HEP applications" ------------------------------------------------------------------------------ 6 April Thursday Morning 08:30 - 12:30 Chair: TBA **Simulation; Code and data management techniques** 08:30 - B. Burow (DESY) "How one operator and hundreds of computers around the world simulate a million ZEUS events per week" 09:00 - C. Bormann (Frankfurt) "A distributed data analysis environment" 09:30 - E. Agterhuis (Utrecht) "Software tools for Microstrip Gas detector simulation" 10:00 - L. Cioni (Pisa) "Co-operative principles in application design" 10:30 - Break (30 min.) 11:00 - S. Cabasino (Pisa) "The Ape Computer Family" 11:45 - B. Burow (DESY) "TDM: A proposed tool to manage data and tasks for a comfortable future of HEP event processing" ------------------------------------------------------------------------------ 7 April Friday Morning 08:30 - 12:30 Chair: TBA **Object Oriented Programming and C++** 08:30 - 09:00 - P. Fuchs (Saturne) "The development of an object-oriented system which integrates simulation, reconstruction and analysis within a common framework 09:30 - J. Carter (CERN) "Experience using formal methods in HEP" 10:00 - N. Piscopo (ARTIS) "An integrated software engineering environment for developing concurrent applications through simulation and automatic code generation" 10:30 - break (30 min) 11:00 - G. Maron (Legnaro) "Experience using an integrated software engineering package for developing the AURIGA antenna data acquisition and analysis system" 11:30 - G. Attardi (Pisa) "The PoSSo Project" 12:00 - V. Talanov (Protvino) " Application of C++ programming principles to geometry description problem in particle transport simulation" 7 April Friday Afternoon 14:00 - 19:00 Chair: TBA **Object Oriented Programming and C++** 14:00 - O. Krivosheev (Tomsk) "Object oriented approach to the design of Monte Carlo code for simulation of electromagnetic showers" 14:30 - O. Krivosheev (Tomsk) "Source viewer and source portability checker - useful tools for developing C++ programs" 15:00 - Break ------------------------------------------------------------------------- ****Software Engineering Posters 4-8 April continuous***** (Posters can be mounted or removed at any time during the workshop. Presenters of posters are encouraged to be present at their posters from 13:30 - 14:00 and from 19:00 - 20:00.) F. Bruyant (CERN) "COMO, an approach for object oriented analysis and design for scientific applications of an algorithmic nature" Th. Kozlowski (LANL) "The use of Shlaer-Mellor object oriented analysis and recursive design in the development of the PHENIX computing systems" M. Marin (Chile) "An event driven simulation environment for hard particle molecular dynamics" ========================================================================= PLENARY SESSION 8 April 09:30 - 12:45 SUMMARY TALKS ========================================================================= 8 April Saturday Morning 09:30 - 12:45 Chair: TBA 09:30 SUMMARY OF AI SESSION - Marcel Kunze (Bochum) 10:30 SUMMARY OF SYMBOLIC - TBA MANIPULATION SESSION 11:30 SUMMARY OF SOFTWARE - P. Murat (INFN Pisa/ITEP Moscow) ENGINEERING SESSION (to be confirmed) 12:30 CLOSING REMARKS - B. Denby (INFN Pisa) Conference Chairman - D. Perret-Gallix (LAPP Annecy) Co-chairman ========================================================================= SPECIAL SEMINARS ========================================================================= 4 April Tuesday Chair: S.R. Amendolia 19:00 - H. E. Miettinen (Rice Univ., USA) "Results of the Top Quark Search from D0" ------------------------------------------------------------------------- 7 April Friday Chair: H. E. Miettinen 19:00 - S.R. Amendolia (INFN Pisa, Italy) "Results of the Top Quark Search from CDF" ========================================================================= INDUSTRY SESSION CONTINUOUS 4-8 APRIL ========================================================================= Confirmed stands: IBM (Rome) Spring (Rome) MACS (Pisa, CNAPS Hardware) Siemens (Munich/Vienna, SYNAPSE Hardware) ========================================================================= --------------------------------- CUT HERE ------------------------------------ REGISTRATION INSTRUCTIONS ------------------------- NOTA BENE: REGISTRATION AND ACCOMMODATION ARE BEING HANDLED BY THE TRE EMME CONGRESSI COMPANY. CALL THEM AT (39)(50)44154 OR FAX (39)(50)500725 FOR ANY QUESTIONS OR PROBLEMS CONCERNING REGISTRATION AND ACCOMMODATION. 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This should be sent directly to Tre Emme by international cheque or eurocheque by MARCH 13, 1995 in order to guarantee your reservation. **IF YOU CANNOT GET THE DEPOSIT IN ON TIME, BOOK YOUR ROOM ANYWAY, AND IT WILL BE HELD UNTIL NOON OF YOUR ARRIVAL DAY; YOU MUST THEN INTERACT WITH THE HOTEL (PHONE NUMBER ON YOUR VOUCHER) YOURSELF IF YOU ARRIVE LATER THAN THAT.** The hotels will not accept credit cards for the **deposit**, but final bills (minus deposit) **can** be paid by credit card. IN CASE OF ANY PROBLEMS, CALL OR FAX TRE EMME FOR ASSISTANCE. 3) SUBMISSION OF ABSTRACTS. Submissions are closed, however, papers submitted now may be included if they especially attract the interest of the organizing committee. 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YOU ARE THEN RESPONSIBLE FOR CALLING THE HOTEL (NUMBER ON TRE EMME VOUCHER) TO ARRANGE FOR LATER ARRIVAL IF NECESSARY. - Deposit payment must be performed by International Cheque or Eurocheque made payable to TRE EMME CONGRESSI; bank charges encountered with other forms of payment will be charged to the participant. I am enclosing International/Eurocheque N. ............ for Lit. ............ made payable to TRE EMME CONGRESSI. Date ............................ Signature ................................ --------------------------------- CUT HERE ------------------------------------ SUBMISSION OF ABSTRACTS ----------------------- Submission of abstracts is technically closed. Abstracts already submitted have been reviewed and applicants notified of acceptance. Abstracts may still be considered, up until the date of the workshop; however acceptances will be at the discretion of the Advisory Committee. Late abstracts will not be included in the abstract booklet. Applications should be sent by electronic mail. Applications should include an abstract describing the work done, a title and a list of authors which indicates which one is the contact person. The contact person should include his postal address, electronic mail address, and telephone and fax numbers. THE ABSTRACT PLUS ALL ACCOMPANYING INFORMATION SHOULD FIT ON ONE PAGE. NO SPECIAL FORMAT IS REQUIRED (PLAIN TEXT PREFERRED). All papers accepted for oral or poster presentation will be published by World Scientific in the workshop proceedings, which, as in past workshops, will be a hardcover edition with the workshop logo in color on the cover. Qualifying papers will also be published in a special edition of International Journal of Modern Physics C. Addresses for Submission of ABSTRACTS ------------------------------------- Electronic Submission: AIHENP95@vaxpia.pi.infn.it -or- DENBY@fnalv.fnal.gov Fax Submission: (39) (50) 880-317 in care of Bruce Denby From B344DSL@UTARLG.UTA.EDU Sat Mar 18 10:54:58 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sat, 18 Mar 95 10:54:55 -0600; AA21052 Message-Id: <9503181654.AA23734@lucy.cs.wisc.edu> Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sat, 18 Mar 95 10:54:52 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ag29547; 17 Mar 95 20:52:49 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa29522; 17 Mar 95 20:21:14 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04869; 17 Mar 95 20:20:15 EST Date: Fri, 17 Mar 1995 18:18:36 -0600 (CST) From: B344DSL@UTARLG.UTA.EDU Subject: MIND conference at Texas A&M: preliminary announcement To: connectionists@cs.cmu.edu Preliminary Announcement and Call for Abstracts Conference on Neural Networks for Novel High-Order Rule Formation Sponsored by Metroplex Institute for Neural Dynamics (MIND) and For a New Social Science (NSS) Texas A&M University, May 20-21, 1995 MIND, a neural networks professional organization based in the Dallas-Fort Worth area, and NSS, a private research foundation based in Coral Springs, Florida, are jointly sponsoring a conference on Neural Networks for Novel High-order Rule Formation. This will partially overlap a conference on Creative Concepts May 19-20 sponsored by the Psychology Department at Texas A&M and the American Psychological Association. This will in turn be preceded by ARMADILLO, the region psychology meeting on Thursday, May 18 (whose registration is free for those attending either Creative Cognition or MIND/NSS). Invited speakers for the MIND/NSS portion include John Taylor (King's College, London); Karl Pribram (Radford University); Risto Miikkulainen (University of Texas); Ramkrishna Prakash (University of Houston); Sam Leven (For a New Social Science); and Daniel Levine (University of Texas at Arlington). There is space for a limited number of contributed talks, for presentation on the Sunday of the conference, and an arbitrary number of posters, to up for the duration of the conference. MIND has sponsored six international conferences, three of which have formed the basis for books (two in print and one now in progress). All but the first have been on focused topics within the neural network field. The topics were chosen for their interest to a broad community, some interested primarily in neurobiology, others in neural theory, and others in engineering applications. These last three topics have been Oscillations in Neural Systems, Optimality in Biological and Artificial Networks?, and Neural Networks for Knowledge Representation and Inference. NSS has co-sponsored two of MIND's conferences. Its purpose is, to quote from its founding statement, "turning the findings and techniques of science to the benefit of social science." It seeks to develop more predictive methodological bases for areas ranging from economics to management theory to social psychology ~ in some cases, to replace foundational assumptions dating from the time of David Hume and Adam Smith, based on a static and unrealistic model of human behavior, with new foundational assumptions that draw on modern knowledge of neuroscience, cognitive science, and neural network theory. This would mean that social scientific models which assume humans always behave rationally will be replaced by models which incorporate emotion, habit, novelty, and ~ particularly relevant for this conference ~ creative intuition. In the words of NSS's original statement: We may find people less rational than we would like them, economic models less precise, survey results less certain. ... We of For a New Social Science seek to find real answers instead of nostrums and mythology. But when we cannot find simple solutions, we choose to see our world plainly and to open our eyes to what we do not know. The theme of this conference will be connectionist modeling of the processes by which complex decision rules are deduced, learned, and encoded. These include, for example, rules that determine, on the basis of some trials, which classes of actions will be rewarded. The myth that neural network methodology is only relevant for low-order pattern processing and not for high-order cognition is rapidly being disproved by recent models. In particular, the 1994 World Congress on Neural Networks included a session on Mind, Brain, and Consciousness, which was one of the most popular and successful sessions of that conference; another such session will be held at the same Congress in 1995. John Taylor has developed a series of models related to consciousness, which is interpreted partly as selective attentional (based in the thalamic reticular nucleus) and partly as comparison of current stimuli with episodic memories of past events (based in the hippocampus). Raju Bapi and Daniel Levine have constructed a network that learns motor sequences and classifies them on the basis of reward. Models have been developed that mimic disruption of specific cognitive tasks by specific mental disorders, among them Alzheimer dementia, autism, depression, and schizophrenia. Sam Leven and Daniel Levine have constructed a neural network that simulates contextual shifts in multiattribute decision making, with specific application to consumer preference for old versus new versions of Coca-Cola. Finally, Haluk Ogmen and Ramkrishna Prakash built on models previously developed by Grossberg and his colleagues to design robots that actively explore their environment under the influence of appetitive and aversive stimuli. All this work paves the way for developing neural network models of creativity and innovation. Part of the creative process involves search for novel high-order rules when current rules fail to predict expected results or to yield expected rewards. This process often requires transfer to a higher level of complexity of analysis. Hence creativity involves what Douglas Hofstadter called a "search of search spaces." Some current models in progress also incorporate knowledge of different brain regions involved in circuits for such a transfer of control. Bapi and Levine discuss the role of the frontal lobes in such a circuit. In the experiments modeled therein, macaque monkeys with prefrontal damage can learn an invariant sequence of motor actions if it is rewarded, but have difficulty learning any one of several reorderings of a sequence (say, ABC, ACB, BAC, BCA, CAB, and CBA) if all are rewarded. This flexible sequence rule is one of many types of complex rules that require intact frontal lobes to be learned effectively. Another is learning to go back and forth on alternate trials between two food trays. Yet another is learning to move toward the most novel object in the environment. Karl Pribram hints that the frontal lobes act in concert with some areas of the limbic system, particularly the hippocampus and amygdala. These theories of specific brain regions are not yet precise or uniquely determined. Neural network models of high-order cognitive processes typically build on network structures that have previously been developed for low-order processes, and may or may not incorporate these neurobiological details. Still, we are now witnessing a dynamic convergence of insights from cognitive neuropsychology along with those from experimental psychology, cognitive science, and neural network theory. This will be the general theme of these two overlapping conferences. Registration for this conference will be $40: registration forms are attached. Those attending the Creative Concepts Conference immediately preceding the MIND/NSS conference will be able to attend for $15. For information about transportation and lodging in College Station, TX (roughly between Austin and Houston) where Texas A&M is located, please contact: Steve Smith Department of Psychology Texas A&M University College Station, TX 77843 409-845-2509 sms@psyc.tamu.edu If you are interested in speaking, please send an abstract by Friday, April 7, to Daniel S. Levine Department of Mathematics University of Texas at Arlington Arlington, TX 76019-0408 817-273-3598 b344dsl@utarlg.uta.edu ------------------------------------------------------------------- -----------------------------------------------------PLEASE RETURN THIS REGISTRATION FORM TO PROF. LEVINE ------------------------------------------------------------------- ----------------------------------------------------- Name ________________________________________ Phone __________________________ Address _________________________________________________________________ _____________ ____________________________________ e-mail ___________________________________ 1. I plan to attend (check all that apply): ARMADILLO ____ Creative Concepts ____ MIND/NSS ____ 2. I would like to present a talk or poster at MIND/NSS ____ From giles@research.nj.nec.com Sat Mar 18 10:54:59 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sat, 18 Mar 95 10:54:53 -0600; AA21050 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sat, 18 Mar 95 10:54:50 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id af29547; 17 Mar 95 20:50:49 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab29519; 17 Mar 95 20:20:24 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04864; 17 Mar 95 20:19:34 EST Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa08490; 17 Mar 95 18:57:29 EST Received: from zingo.nj.nec.com by EDRC.CMU.EDU id aa06127; 17 Mar 95 18:57:08 EST Received: by zingo (920330.SGI/YDL1.4-910307.16) id AA18116(zingo); Fri, 17 Mar 95 18:55:10 -0500 Received: by alta (5.52/cliff's joyful mailer #2) id AA18111(alta); Fri, 17 Mar 95 18:55:08 EST Date: Fri, 17 Mar 95 18:55:08 EST From: Lee Giles <giles@research.nj.nec.com> Message-Id: <9503172355.AA18111@alta> To: connectionists@cs.cmu.edu Subject: TR Available: Recurrent Neural Networks and Dynamical Systems Cc: giles@research.nj.nec.com The following Technical Report is available via the University of Maryland Department of Computer Science and the NEC Research Institute archives: _____________________________________________________________________________ "Finite State Machines and Recurrent Neural Networks -- Automata and Dynamical Systems Approaches" UNIVERSITY OF MARYLAND TECHNICAL REPORT UMIACS-TR-95-1 and CS-TR-3396 Peter Tino[1,2], Bill G. Horne[2], C. Lee Giles[2,3] [1] Dept. of Informatics and Computer Systems, Slovak Technical University, Ilkovicova 3, 812 19 Bratislava, Slovakia [2] NEC Research Institute, 4 Independence Way, Princeton, NJ 08540 [3] UMIACS, University of Maryland, College Park, MD 20742 {tino,horne,giles}@research.nj.nec.com We present two approaches to the analysis of the relationship between a recurrent neural network (RNN) and the finite state machine M the network is able to exactly mimic. First, the network is treated as a state machine and the relationship between the RNN and M is established in the context of algebraic theory of automata. In the second approach, the RNN is viewed as a set of discrete-time dynamical systems associated with input symbols of M. In particular, issues concerning network representation of loops and cycles in the state transition diagram of M are shown to provide a basis for the interpretation of learning process from the point of view of bifurcation analysis. The circumstances under which a loop corresponding to an input symbol x is represented by an attractive fixed point of the underlying dynamical system associated with x are investigated. For the case of two recurrent neurons, under some assumptions on weight values, bifurcations can be understood in the geometrical context of intersection of increasing and decreasing parts of curves defining fixed points. The most typical bifurcation responsible for the creation of a new fixed point is the saddle node bifurcation. ------------------------------------------------------------------------- http://www.neci.nj.nec.com/homepages/giles.html http://www.cs.umd.edu/TRs/TR-no-abs.html or ftp://ftp.nj.nec.com/pub/giles/papers/UMD-CS-TR-3396.fsm-rnn.dynamics.systems.ps.Z -------------------------------------------------------------------------- -- C. Lee Giles / NEC Research Institute / 4 Independence Way Princeton, NJ 08540, USA / 609-951-2642 / Fax 2482 URL http://www.neci.nj.nec.com/homepages/giles.html ==