From rajkumar@centre-intelligent-systems.plymouth.ac.uk Sun Mar 26 20:23:18 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sun, 26 Mar 95 20:23:14 -0600; AA22610 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sun, 26 Mar 95 20:23:11 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa15708; 26 Mar 95 19:59:30 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa15706; 26 Mar 95 19:45:22 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa15822; 26 Mar 95 19:44:24 EST Received: from MAILBOX.SRV.CS.CMU.EDU by B.GP.CS.CMU.EDU id aa09380; 26 Mar 95 9:12:10 EST Received: from sun2.nsfnet-relay.ac.uk by MAILBOX.SRV.CS.CMU.EDU id aa00269; 26 Mar 95 9:10:20 EST Via: uk.ac.plymouth.centre-intelligent-systems; Sun, 26 Mar 1995 15:07:32 +0100 From: Rajkumar Roy (EDC) Date: Sun, 26 Mar 95 14:49:51 BST Message-Id: <6961.9503261349@cis.plymouth.ac.uk> Via: london.charles-x; Sun, 26 Mar 95 14:49:51 BST To: EP-List@magenta.me.fau.edu, Genetic-Programming@CS.Stanford.Edu, TIERRA@life.slhs.udel.edu, alife@cognet.ucla.edu, cells@tce.ing.uniroma1.it, cellular-automata@think.com, colt@cs.uiuc.edu, connectionists@MAILBOX.SRV.CS.CMU.EDU, ga-molecule-approval@interval.com, gann-list@cs.iastate.edu, ml@ics.uci.edu, neuron-request@CATTELL.psych.upenn.edu, nn-plym@school-of-computing.plymouth.ac.uk, rajkumar@centre-intelligent-systems.plymouth.ac.uk Subject: ACEDC'96 Call for Papers ... Cc: ************************************************************** PLEASE CIRCULATE ! PLEASE CIRCULATE ! PLEASE CIRCULATE ! ************************************************************** SECOND INTERNATIONAL CONFERENCE ADAPTIVE COMPUTING IN ENGINEERING DESIGN AND CONTROL '96 26-28 March 1996 'The Integration of Genetic Algorithms, Neural Computing and Related Adaptive Techniques with Current Engineering Practice'. 1ST CALL FOR PAPERS ACEDC'96 CONFERENCE CHAIRS Dr I C Parmee Prof M J Denham Plymouth Engineering Design Centre AIMS OF THE CONFERENCE There is a world-wide upsurge of interest from both industry and academia in exciting novel computer technologies that are inspired by biological principles and other natural processes. The Genetic Algorithm, Neural Computing and Cellular Automata are examples of emergent computational techniques which exploit co-operating elements to solve complex problems previously considered to be beyond the capabilities of conventional numerical computation. A number of specialised conferences are held annually where fundamental issues in these fields are described and discussed. ACEDC'96 is the second in what is expected to be a biennial series of meetings aimed at addressing the rapidly developing integration of these emerging computing technologies with engineering applications, particularly in the areas of design and control. The primary objective of the ACEDC'96 Conference is to create a stimulating environment in which participants can assess the state of the art, discuss feasible future directions for research and applications and develop long term targets. The ultimate aim of this conference series is to ensure that design engineers can take full advantage of these powerful computing technologies and of their implementation upon high performance computing platforms, as both become increasingly available and dominant over the next ten years and into the early part of the 21st Century. RELEVANT AREAS Papers are invited which address, amongst others, the following issues: * How are design and control problems best formulated for the application of these novel computing technologies? * What aspects of design and control problems present difficulties for and limitations on the use of these technologies? * What are the current shortcomings of the novel computing methods in respect of their application to real world problems? * To what extent can the development of hybrid approaches, involving the dynamic combination of complementary computing methods, help to solve present and future problems? * How can designer intuition and experience be captured and included in the process? * How can the design engineer visualise and explain the computational processes, their resulting solutions and pathways to these solutions? * How can designer creativity be best enhanced by these techniques? 1ST CALL FOR PAPERS Submissions should take the form initially of extended abstracts of 1000-2000 words which fully describe how the paper will contribute to the aims of the conference. This will be either by addressing the issues described above or related issues at a conceptual level, or by describing real world examples of how such issues have been approached and problems overcome. Abstracts are invited from both industry and academia and may describe completed work or ongoing research. Papers will be accepted as either full papers for oral presentation or short papers for poster presentation etc. Extended abstracts should be received by 1st May 1995. Successful authors will be informed by 30th August 1995 and a camera-ready copy should arrive no later than 23rd October 1995. CONFERENCE ORGANISATION The Conference will be of three days duration. Parallel sessions will be avoided on at least two of the three days with the aim of generating widespread discussion on all aspects of the meeting. The content of each session will be designed as far as possible to include papers which address the issues both conceptually and through application in order to promote and stimulate discussion of the integration between the computing methods and their real-world applications. This approach will also assist in the identification of the generic issues involved. Keynote speakers have been invited to present papers which will further stimulate and focus discussion of the major issues in the field. Delegate fees will be kept to a minimum and are unlikely to exceed 180.00 pounds sterling for the attendance on all three days, the aim being to provide high-level information exchange at low cost. INVITED KEYNOTE SPEAKERS Professor Eric Goodman Michigan State University, USA Professor George Thierauf University of Essen, Germany Professor John Taylor Kings College, London, UK Professor Julian Morris University of Newcastle-upon-Tyne, UK Dr Philip Husbands University of Sussex, UK INVITED SCIENTIFIC COMMITTEE A J Keane University of Oxford, UK H Schwefel University of Dortmund, Germany P Husbands University of Sussex, UK G Thierauf University of Essen, Germany P Cowley Rolls Royce, UK E Semenkin Siberian Aerospace Academy, Russia P Liddell British Aerospace, UK D Grierson University of Waterloo, Canada G Gapper British Aerospace, UK J Angus Rolls Royce, UK E Goodman Michigan State University, USA J Taylor Kings College, London, UK E Kant Schlumberger Computing Labs, USA C Hughes Logica Cambridge, UK S Talukdar Carnegie Mellon University, USA C Harris University of Southampton, UK J Morris University of Newcastle-upon-Tyne, UK C Lin Institute of Technology, Taiwan S Patel Unilever Research Laboratory, UK M J Denham University of Plymouth, UK I C Parmee University of Plymouth, UK ASSOCIATED SOCIETIES Institution of Engineering Designers Institution of Mechanical Engineers Institution of Civil Engineers British Computer Society AISB IMPORTANT DATES Immediately Expression of interest 1st May 1995 Deadline for receipt of abstracts 30th August 1995 Notification of acceptance 23rd October 1995 Deadline for receipt of full papers 26-28th Mar 1996 Conference CONTACT ADDRESS Ms J Levers (Secretary) Plymouth Engineering Design Centre University of Plymouth Charles Cross Centre Drake Circus PLYMOUTH Devon, PL4 8DE United Kingdom Tele: +44 (0)1752-233508 Fax: +44 (0)1752-233505 Email: ian@cis.plym.ac.uk From prechelt@ira.uka.de Mon Mar 27 14:11:25 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Mon, 27 Mar 95 14:11:22 -0600; AA16369 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Mon, 27 Mar 95 14:11:19 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa16880; 27 Mar 95 12:19:13 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa16878; 27 Mar 95 12:08:45 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa16787; 27 Mar 95 12:08:02 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa18111; 27 Mar 95 8:52:57 EST Received: from iraun1.ira.uka.de by CS.CMU.EDU id aa02381; 27 Mar 95 8:52:16 EST Received: from irafs2.ira.uka.de by iraun1.ira.uka.de with SMTP (PP); Mon, 27 Mar 1995 15:50:27 +0200 Received: from ira.uka.de (actually i41s25.ira.uka.de) by irafs2.ira.uka.de with SMTP (PP); Mon, 27 Mar 1995 15:50:20 +0200 To: connectionists@cs.cmu.edu Subject: TR on connection pruning available Date: Mon, 27 Mar 1995 15:51:39 +0200 From: Lutz Prechelt Message-Id: <"irafs2.ira.104:27.03.95.13.50.23"@ira.uka.de> FTP-host: ftp.icsi.berkeley.edu FTP-file: /pub/techreports/1995/tr-95-009.ps.Z URL: ftp://ftp.icsi.berkeley.edu/pub/techreports/1995/tr-95-009.ps.Z The technical report "Adaptive Parameter Pruning in Neural Networks" is now available for anonymous ftp from ftp.icsi.berkeley.edu in directory /pub/techreports/1995/ as file tr-95-009.ps.Z (92 kB, 14 pages). Here is the bibtex entry and abstract: @TechReport{Prechelt95e, author = "Lutz Prechelt", title = "Adaptive Parameter Pruning in Neural Networks", institution = "International Computer Science Institute", year = 1995, number = "95-009", address = "Berkeley, CA", month = mar, Class = "nn, learning, experiment, algorithm", URL = "ftp://ftp.icsi.berkeley.edu/pub/techreports/1995/tr-95-009.ps.Z}, abstract = "Neural network pruning methods on the level of individual network parameters (e.g. connection weights) can improve generalization. An open problem in the pruning methods known today (OBD, OBS, autoprune, epsiprune) is the selection of the number of parameters to be removed in each pruning step (pruning strength). This paper presents a pruning method \Def{lprune} that automatically adapts the pruning strength to the evolution of weights and loss of generalization during training. The method requires no algorithm parameter adjustment by the user. The results of extensive experimentation indicate that lprune is often superior to autoprune (which is superior to OBD) on diagnosis tasks unless severe pruning early in the training process is required. Results of statistical significance tests comparing autoprune to the new method lprune as well as to backpropagation with early stopping are given for 14 different problems." } The ICSI internet connection is sometimes extremely slow and fails often. If you have problems getting the document, just try again at a different time. Sorry, no hardcopies available from me. Lutz Lutz Prechelt (http://wwwipd.ira.uka.de/~prechelt/) | Whenever you Institut fuer Programmstrukturen und Datenorganisation | complicate things, Universitaet Karlsruhe; 76128 Karlsruhe; Germany | they get (Voice: +49/721/608-4068, FAX: +49/721/694092) | less simple. From bert@mbfys.kun.nl Tue Mar 28 16:24:02 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Tue, 28 Mar 95 16:23:59 -0600; AA14583 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Tue, 28 Mar 95 16:23:56 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa18141; 28 Mar 95 13:06:02 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa18139; 28 Mar 95 12:43:07 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa17779; 28 Mar 95 12:41:29 EST Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa02637; 28 Mar 95 4:44:51 EST Received: from septimius.mbfys.kun.nl by EDRC.CMU.EDU id aa22560; 28 Mar 95 4:44:38 EST Received: from dontcare by septimius.mbfys.kun.nl via galba.mbfys.kun.nl [131.174.82.73] with SMTP id LAA11946 (8.6.10/2.4) for ; Tue, 28 Mar 1995 11:44:35 +0200 Date: Tue, 28 Mar 1995 11:44:35 +0200 From: Bert Kappen Message-Id: <199503280944.LAA11946@septimius.mbfys.kun.nl> To: Connectionists@cs.cmu.edu Subject: Publication announcement FTP-host: galba.mbfys.kun.nl FTP-file: pub/reports/Kappen.RBBM.ps.Z Radial Basis Boltzmann Machines and learning with missing values (4 pages) Hilbert J. Kappen, Marcel J. Nijman RWCP Novel Function SNN Laboratory Dept. of Medical Physics and Biophysics, University of Nijmegen Geert Grooteplein 21, NL 6525 EZ Nijmegen, The Netherlands ABSTRACT: A Radial Basis Boltzmann Machine (RBBM) is a specialized Boltzmann Machine architecture that combines feed-forward mapping with probability estimation in the input space, and for which very fast learning rules exist. The hidden representation of the network displays symmetry breaking as a function of the noise in the Glauber dynamics. Thus generalization can be studied as a function of the noise in the neuron dynamics instead of as a function of the number of hidden units. For the special case of unsupervised learning, we show that this method is an elegant alternative of $k$ nearest neighbor, leading to comparable performance without the need to store all data. We show that the RBBM has good classification performance compared to the MLP. The main advantage of the RBBM is that simultaneously with the input-output mapping, a model of the input space is obtained which can be used for learning with missing values. We show that the RBBM compares favorably to the MLP for large percentages of missing values. From l.s.smith@cs.stir.ac.uk Tue Mar 28 22:13:08 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Tue, 28 Mar 95 22:13:05 -0600; AA19470 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Tue, 28 Mar 95 22:13:03 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa18244; 28 Mar 95 15:43:59 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa18242; 28 Mar 95 15:33:36 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa17883; 28 Mar 95 15:33:23 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa09563; 28 Mar 95 10:42:30 EST Received: from dosh.cs.stir.ac.uk by RI.CMU.EDU id aa03549; 28 Mar 95 10:42:10 EST Received: from katrine.cs.stir.ac.uk by dosh.cs.stir.ac.uk (8.6.10) with ESMTP id QAA12790; Tue, 28 Mar 1995 16:38:11 +0100 Received: by katrine.cs.stir.ac.uk (8.6.10) id QAA07039; Tue, 28 Mar 1995 16:38:10 +0100 Date: Tue, 28 Mar 1995 16:38:10 +0100 From: "Dr L S Smith (Staff)" Message-Id: <199503281538.QAA07039@katrine.cs.stir.ac.uk> Received: by NeXT.Mailer (1.100) Received: by NeXT Mailer (1.100) To: Connectionists@cs.cmu.edu Subject: M.Sc. Course in Neural Computation. Cc: lss@cs.stir.ac.uk CENTRE FOR COGNITIVE AND COMPUTATIONAL NEUROSCIENCE UNIVERSITY OF STIRLING, SCOTLAND M.Sc. in NEURAL COMPUTATION This is a one-year full-time course with a focus on basic principles of neural computation and a special emphasis on vision. Students are prepared for careers in neural net research and development in industrial and academic situations, and also for work in more traditional computational, cognitive science, or neuroscience environments where this training can provide a distinctive and valuable contribution. The course may include a two-month industrial placement. Work for the M.Sc. can in some case be converted into the first year of a Ph.D. A nine-month Post-graduate Diploma is also available. COURSE STRUCTURE: AUTUMN 1. Introduction to neural computation 2. Principles of vision 3. Cognitive neuroscience 4. Mathematical and statistical techniques SPRING & SUMMER 1. Advanced practical work 2. Advanced topics 3. Research project ADMISSION: Applicants with any relevant first degree are eligible, e.g., PSYCHOLOGY, COMPUTING, BIOLOGY, PHYSICS, ENGINEERING, or MATHEMATICS. For information and application forms contact: School Office, School of Human Sciences, University of Stirling, Stirling FK9 4LA, SCOTLAND For specific enquiries contact: Dr W. A. Phillips, CCCN, Stirling University, Stirling FK9 4LA, Scotland e-mail: WAP1@FORTH.STIR.AC.UK From halici@rorqual.CC.METU.EDU.TR Tue Mar 28 22:13:50 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Tue, 28 Mar 95 22:13:09 -0600; AA19476 Message-Id: <9503290413.AA04695@lucy.cs.wisc.edu> Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Tue, 28 Mar 95 22:13:06 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa18252; 28 Mar 95 15:57:14 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa18250; 28 Mar 95 15:47:11 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa17888; 28 Mar 95 15:34:34 EST Date: Mon, 27 Mar 1995 11:23:33 +0300 (MEST) From: ugur halici To: connectionist-request@cs.cmu.edu Subject: NN chips Dear Colleagues, We are gathering information on Neural Network hardware devices that have been implemented. Until now, we have collected sufficient information on the following chips/devices, for which a reference list for these devices is provided at the end of the message: TiNMANN Kohonen SOFM Nestor Ni1000 Siemens MA16 Mitsubishi Branch Neuron Unit Bell Labs Hopfield Chip Hitachi Digital Chip Philips L-Neuro Intel ETANN University of Edinburgh EPSILON AT&T Bell Labs ANNA Adaptive Solution CNAPS Hitachi WSI Siemens SYNAPSE However we have insufficient information on the following: British Telecom HANNIBAL Silicon Retina Jet Propulsion Laboratory Hopfield Chip BELLCORE Boltzmann Machine KAKADU Multilayer Perceptron Fujitsu Analog-Digital Chip U. of Catholique Louvain Kohonen SOFM Chip MIT Neuroprocessor Chip TRW MARK HNC SNAP We will appreciate your contact if you have involved somehow in implemented neuro-chips whose name is not in our list or listed among the ones for which we have insufficient information. Sincerely, Ugur Halici Dept. of Electrical Engineering Middle East Technical University, 06531, Ankara Fax: (+90) 312 210 12 61 Email: halici@rorqual.cc.metu.edu REFERENCES Alspector, J.,et. al., 1989, "Performance of a Stochastic Learning Microchip.", Advances in Neural Information Processing Systems, Vol.1, pp. 748-760. Arima, Y., et. al, 1991a, "A 336-Neuron, 28-K Synapse, Self-learning Neural Network Chip with Branch-Neuron-Unit Architecture.", IEEE Journal of Solid State Circuits, Vol.26, No.11, pp. 1637-1644. Arima, Y., et. al, 1991b, "A Self-learning Neural Network Chip with 125-Neurons and 10-K self-Organization Synapses.", IEEE Journal of Solid State Circuits, Vol.26, No.4, pp. 607-611. Arima, Y., et. al, 1992, "A Refreshable Analog VLSI Neural Network Chip with 400-Neurons and 40-K synapses", IEEE Journal of Solid State Circuits, Vol.27, No.12, pp. 1854-1861. Castro, H.A., et. al, 1993, "Implementation and Performance of Analog Nonvolatile Neural Network", Analog Integrated Circuits and Signal Processing, Vol.4, pp. 97-113. Eberhardt, S.P., et.al., 1992, "Analog VLSI Neural Netowrks: Implementation Issues and Examples in Optimization and Supervised Learning.", IEEE Transactions on Industrial Electronics, Vol.39, No.6, pp. 552-564. Hamilton, A., et. al, 1993, "Pulse Stream VLSI Circuits and Systems: The EPSILON Neural Network Chipset", International Journal of Neural Systems, Vol.4, No.4, pp. 395-405. Holler, M., et. al, 1989, "An Electrically Trainable Artificial Neural Network (ETANN) with 1024 'Floating Gate' Syanpse", Proceedings of IACNN 1989, pp.191-196 INTEL 80170NW ETANN Experimental Sheet, May 1990, Intel Corp. Maher, M.A.C., et.al., 1989, "Implementing Neural Architectures Using Analog VLSI Circuits.", IEEE Transactions on Circuits and Systems, Vol. 36, No. 5, pp. 643-652 Mueller, D., and D.Hammerstorm, 1992, "A Neural Network Systems Component", Proceedings of IEEE ICNN 1992, pp. 1258-1264. Murray, A.F., et. al, 1994, "Pulse Stream VLSI Neural Networks.", IEEE Micro, June 1994, pp. 29-38. Ramacher, U., 1992, "SYNAPSE - A Neurocomputer that Synthesizes Neural Algorithms on a Parallel Systolic Engine", Journal of Parallel and Distributed Computing, Vol.14, pp. 306-318. Ramacher, U., et. al, 1993, "Multiprocessor and Memory Architecture of the Neurocomputer Synapse-1", International Journal of Neural Systems, Vol.4, No.4, pp. 333-336. Sackinger, E., et. al, 1992a, "Application of the ANNA Neural Network Chip to High-speed Character Recognition.", IEEE Transactions on Neural Networks, Vol.3, No.3, pp. 498-505. Tam, S., et. al, 1992, "A Reconfigurable Multi-chip Analog Neural Network Recognition and Back-Propagation Training", Proceedings of IEEE ICNN 1992, pp. 625-630. Watanebe, T., et. al, 1993, "A Single 1.5V Digital Chip for a 106 Synapse Neural Network.", IEEE Transactions on Neural Networks, Vol.4, No.3, pp. 387-393. From robtag@dia.unisa.it Wed Mar 29 21:19:12 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 29 Mar 95 21:19:06 -0600; AA17963 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 29 Mar 95 21:19:03 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa19755; 29 Mar 95 17:21:31 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa19753; 29 Mar 95 17:04:17 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa19069; 29 Mar 95 17:03:53 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa22456; 29 Mar 95 5:32:53 EST Received: from udsab.dia.unisa.it by CS.CMU.EDU id aa03976; 29 Mar 95 5:31:59 EST Received: by udsab.dia.unisa.it; (5.65/1.1.8.2/20Oct94-0535PM) id AA15397; Wed, 29 Mar 1995 12:31:32 +0200 Date: Wed, 29 Mar 1995 12:31:32 +0200 From: Tagliaferri Roberto Message-Id: <9503291031.AA15397@udsab.dia.unisa.it> To: Connectionists@cs.cmu.edu Subject: FIRST EUROPEAN NEURAL NETWORK SCHOOL FIRST EUROPEAN NEURAL NETWORK SCHOOL First Announcement IIASS, Vietri S/M (Salerno), Italy 25-29 September 1995 (Co-chairs: Professor M. Marinaro and Dr. T.G. Clarkson) There is a need for a school in neural networks to caterto the healthy growth of activity in the subject. The NEURONET EC Network of Excellence is proposing to help sponsor and develop this, in collaboration with IIASS. The School will last for 5 days, with lectures in the mornings (9.00 am - 12.00 midday) and late afternoons (3.00 pm - 5.00 pm) each day. 95 per day, each 1 hour in lenght). At the end of each day a discussion (1 hour) will be held. Proposed topics (3 hours per topics, except as where mentioned): 1. Introduction to Artificial Neural Networks (ANNs) 2. Theory of Learning 3. Applications of ANNs in Control } 4. Applications of ANNs in Pattern Recognition } (2 hours each) 5. Applications of ANNs in Time Series } 6. Introduction to Living Neural Networks 7. Biological Inputs and Outputs 8. Biological Memory Systems 9. Higher Order Cognitive Modelling Committee from NEURONET Dr. T.G. Clarkson (KCL) (Chair) Professor J.G. Taylor (KCL) Professor A. Babloyantz (and other Human Resources Committee members) PARTICIPANTS All appropriate (students, beginners to the field, etc.) Registration fee 250.000 Italian Lire Registration form (To be sent to IIASS by May, 31 1995) ***************************************************************************** TEAR OFF HERE ***************************************************************************** INFORMATION FORM to be returned to: FENNS 95 IIASS Via Pellegrino, 19 84019 Vietri s/m (Salerno) Italia FENNS 95 Vietri s/m, 25-29 September 1995 Last name : .......................................................... First Name : ........................................................ Organization or company : ............................................ ...................................................................... ...................................................................... Postal code/Zip code : ............................................... City : ............................................................... Country : ............................................................ Tel : ................................................................ Fax : ................................................................ Electronic mail:...................................................... ***************************************************************************** TEAR OFF HERE ***************************************************************************** The accepted registration will be notified by June, 20 1995 and the registration fee must be sent by July, 20 1995. ***************************************************************************** From rsun@cs.ua.edu Thu Mar 30 16:04:40 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Thu, 30 Mar 95 15:57:22 -0600; AA14225 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Thu, 30 Mar 95 15:53:27 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa21090; 30 Mar 95 13:32:19 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa21088; 30 Mar 95 13:19:59 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa19925; 30 Mar 95 13:19:30 EST Received: from MAILBOX.SRV.CS.CMU.EDU by B.GP.CS.CMU.EDU id aa19029; 30 Mar 95 13:00:27 EST Received: from athos.cs.ua.edu by MAILBOX.SRV.CS.CMU.EDU id aa12792; 30 Mar 95 12:59:13 EST Received: by athos.cs.ua.edu (AIX 3.2/UCB 5.64/4.03) id AA18175; Thu, 30 Mar 1995 11:57:13 -0600 Date: Thu, 30 Mar 1995 11:57:13 -0600 From: Ron Sun Message-Id: <9503301757.AA18175@athos.cs.ua.edu> To: cneuro@smaug.bbb.caltech.edu, cogpsy@phil.ruu.nl, connectionists@MAILBOX.SRV.CS.CMU.EDU, hybrid@cns.brown.edu, neuron-request@cattell.psych.upenn.edu, nl-kr@cs.rpi.edu Subject: Workshop on connectionist-symbolic integration ---------------------------------------------- The IJCAI Workshop on Connectionist-symbolic Integration: From Unified to Hybrid Approaches ---------------------------------------------- Montreal, Canada August 19-20, 1995 There has been a considerable amount of research in integrating connectionist and symbolic processing. While such an approach has clear advantages, it also encounters serious difficulties and challenges. Therefore, various models and ideas have been proposed to address various problems and aspects in this integration. There is a growing interest from many segments of the AI community, ranging from expert systems, to cognitive modeling, to logical reasoning. Two major trends can be identified in the state of the art: these are the unified, or purely connectionist, and the hybrid approaches to integration. Whereas the purely connectionist ("connectionist-to-the-top") approach claims that complex symbol processing functionalities can be achieved via neural networks alone, the hybrid approach is premised on the complementarity of the two paradigms and aims at their synergistic combination in systems comprising both neural and symbolic components. In fact, these trends can be viewed as two ends of an entire spectrum. Up till now, overall, there is still relatively little work in comparing and combining these fairly isolated efforts. This workshop will provide a forum for discussions and exchanges of ideas in this area, to foster cooperative work. The workshop will tackle important issues in integrating connectionist and symbolic processing. ** Organizing Committee Frederic Alexandre (co-chair) John Barnden Steve Gallant Larry Medsker Christian Pellegrini Noel Sharkey Ron Sun (co-chair) ** Program Committee Lawrence Bookman Michael Dyer Wolfgang Ertel LiMin Fu Jose Gonzalez-Cristobal Ruben Gonzalez-Rubio Jean-Paul Haton Melanie Hilario Abderrahim Labbi Ronald Yager Workshop Schedule} -------------------- August 19th, 1995 9:00 - 9:20 Opening Remarks R. Sun F. Alexandre 9:20 - 11:30 Invited talks Chair: Ron Sun 9:20 - 10:20 Invited Talk: Neuropsychology meets AI J. Hendler 10:30 - 11:30 Invited Talk: Neural computing and Artificial Intelligence N. Sharkey 11:30-12:00 Panel responses and discussions Chair: R. Sun Panelists: F. Alexandre, J. Austin, G. Cottrell/D. Noelle, R. Yager Each panelist gives a 5 minute commentary, with questions and comments from the audience. The invited speakers then give their responses. 1:30 - 2:30 Interactive Session: Definitions of Approaches Chair: F. Alexandre Overview of strategies for neurosymbolic integration M. Hilario Cognitive aspects of neurosymbolic integration Y. Lallement and F. Alexandre 2:30 pm - 4:00 Regular Session: Hybrid Approaches Chair: C. Pellegrini A hybrid learning model of abductive reasoning T. Johnson and J. Zhang A hybrid learning model for reaction and decision making R. Sun and T. Peterson A preprocessing model for integrating CBR and prototype-based neural network M. Malek and B. Amy 4:10 - 5:40 Regular Session: Unified Approaches Chair: R. Sun Symbolic neural networks derived from stochastic grammar domain models E. Mjolsness Micro-level hybridization in DUAL B. Kokinov A unified connectionist model of instruction following D. Noelle and G. Cottrell August 20th, 1995 9:00 - 10:30 Regular Session: Hybrid Approaches Chair: J.P. Haton An integrated symbolic/connectionist model of parsing S. Stevenson A hybrid system framework for disambiguating word senses X. Wu, M. McTear, P. Ojha, H. Dai A localist network architecture for logical inference N. Park and D. Robertson 10:40 - 12:40 Regular Session: Unified Approaches Chair: F. Alexandre Holographic reduced representation T. Plate Distributed representations for terms in hybrid reasoning systems A. Sperduti, A. Starita, C. Goller Learning distributed representation R. Krosley and M. Misra Distributed associative memory J. Austin 2:00 - 4:30 Regular Session: Hybrid Approaches Chair: L. Medsker A distributed platform for symbolic-connectionist integration J. C. Gonzalez, J. R. Velasco, C. A. Iglesias Nessyl3L: a neurosymbolic system with 3 levels B. Orsier and A. Labbi A framework for hybrid systems P. Bison, G. Chemello, C. Sossai, G. Trainito A first approach to a taxonomy of fuzzy-neural systems L. Magdalena Task structure and computational level; architectural issues in symbolic-connectionist integration R. Khosla and T. Dillon 4:40 - 5:30 Summary Panel Chair: F. Alexandre Panelists: R. Sun, T. Johnson/J. Zhang, M. Hilario, S. Gallant, J.P. Haton, L. Medsker 5:30 Workshop ends -------------------------------------------------------------- For details, contact IJCAI-95, c/o AAAI, 455 Burgess Drive, Menlo Park, CA 94025, USA. ================================================================ Dr. Ron Sun Department of Computer Science phone: (205) 348-6363 The University of Alabama fax: (205) 348-0219 Tuscaloosa, AL 35487 email: rsun@cs.ua.edu ================================================================ From bishopc@helios.aston.ac.uk Fri Mar 31 17:23:23 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 31 Mar 95 17:23:19 -0600; AA01955 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Fri, 31 Mar 95 17:23:15 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa22415; 31 Mar 95 15:42:45 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa22410; 31 Mar 95 15:15:03 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa21051; 31 Mar 95 15:14:07 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa29714; 31 Mar 95 5:39:02 EST Received: from [134.151.79.46] by RI.CMU.EDU id aa09538; 31 Mar 95 5:38:02 EST Received: from email.aston.ac.uk by hermes.aston.ac.uk with SMTP (PP); Fri, 31 Mar 1995 11:39:23 +0100 Received: from synapse by email.aston.ac.uk with SMTP (PP) id <07319-0@email.aston.ac.uk>; Fri, 31 Mar 1995 11:33:53 +0100 From: bishopc Date: Fri, 31 Mar 1995 11:40:38 +0000 Message-Id: <9838.9503311040@sun.aston.ac.uk> To: Connectionists@cs.cmu.edu Subject: Aston World Wide Web Pages Cc: c.m.bishop@aston.ac.uk X-Sun-Charset: US-ASCII Content-Length: 879 Aston University ---------------- Neural Computing Research Group ------------------------------- World Wide Web pages -------------------- Our world wide web pages can be viewed at the following URL: http://neural-server.aston.ac.uk/ These pages include information on the research activities of the Group, lists of recent publications and preprints, and funded research opportunities within the Group. Chris Bishop -------------------------------------------------------------------- Professor Chris M Bishop Tel. +44 (0)121 359 3611 x4270 Neural Computing Research Group Fax. +44 (0)121 333 6215 Dept. of Computer Science c.m.bishop@aston.ac.uk Aston University Birmingham B4 7ET, UK --------------------------------------------------------------------