From LUCIANO@etsiig.uniovi.es Mon Jun 17 13:11:19 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id NAA13701 for ; Mon, 17 Jun 1996 13:11:04 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id NAA14120 for ; Mon, 17 Jun 1996 13:11:00 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa06004; 17 Jun 96 12:20:03 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa05983; 17 Jun 96 11:41:22 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa00615; 17 Jun 96 11:40:37 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa20085; 17 Jun 96 11:13:40 EDT Received: from opalo.etsiig.uniovi.es by CS.CMU.EDU id aa21102; 17 Jun 96 11:12:25 EDT Received: from etsiig.uniovi.es by etsiig.uniovi.es (PMDF V5.0-7 #4541) id <01I60HUOJY9CCTZKPB@etsiig.uniovi.es> for Connectionists@CS.CMU.EDU; Mon, 17 Jun 1996 11:23:00 +0100 (GMT) Date: Mon, 17 Jun 1996 11:23:00 +0100 (GMT) From: Luciano Sanchez Subject: New book in Spanish To: Connectionists@cs.cmu.edu Message-id: <01I60HUOKW5UCTZKPB@etsiig.uniovi.es> X-VMS-To: IN%"Connectionists@CS.CMU.EDU" X-VMS-Cc: LUCIANO MIME-version: 1.0 Content-type: TEXT/PLAIN; CHARSET=US-ASCII Content-transfer-encoding: 7BIT Last month a new book about metaheuristics (Simulated annealing, Tabu Search, GRASP, Genetic Algorithms) and application of NN in optimization has been published. The book is in Spanish. List of authors includes Prof Fred Glover (U of Colorado) author of Tabu Search Technique, and other Professors from Alabama, American University of Beirut, Tecnologico de Monterrey-Mexico, U La plata (Argentina) and Oviedo (Spain). All the material is original and written for this book. More info can be reached in the Web Address: http://www.ing.unlp.edu.ar/cetad/mos/libro.html TITLE: Optimizacion heuristica y redes neuronales AUTHORS: Adenso Diaz, Fred Glover, H. Ghaziri, J.L. Gonzalez, M. Laguna, P. Moscato, F. Tseng PREFACE BY Gerald Thompson (Carnegie Mellon U) PUBLISHER: Editorial Paraninfo, Madrid ( fax: + (34) 1.445.6218 ) PAGES: 235 ISBN: 84-283-2269-4 TABLE OF CONTTENTS (ABSTRACTED): CHAPTER 1. INTRODUCTION TO METAHEURISTICS (Complexity, classification of heuristics,..) CHAPTER 2. SIMULATED ANNEALING (Physical analogy, convergency, number partitioning & SA, applic,..) CHAPTER 3. GENETIC ALGORITHMS (Basics, schema theorem, defective problems, applications,...) CHAPTER 4. TABU SEARCH (Types of memory, structure and strategy, path relinking,...) CHAPTER 5. GRASP (GREEDY RANDOMIZED ADAPTIVE SEARCH PROCEDURES) (Design, local procedures, applications,...) CHAPTER 6. NEURAL NETWORKS (Architectures, NN & opt., Kohonen, Hopfield, elastic net., appl...) From rafal@mech.gla.ac.uk Mon Jun 17 21:02:00 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id VAA22481 for ; Mon, 17 Jun 1996 21:01:55 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id VAA20636 for ; Mon, 17 Jun 1996 21:01:52 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa05981; 17 Jun 96 12:09:08 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa05979; 17 Jun 96 11:39:45 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa00605; 17 Jun 96 11:39:25 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa17014; 17 Jun 96 5:31:02 EDT Received: from [130.209.12.9] by RI.CMU.EDU id aa05119; 17 Jun 96 5:30:15 EDT Message-Id: <7485.199606170929@gryphon.mech.gla.ac.uk> Date: Mon, 17 Jun 1996 10:29:06 +0100 (BST) Received: (from rafal@localhost sender rafal) by gryphon.mech.gla.ac.uk (8.7.5/UK-2.2a/mech-sparc) id KAA07485 for Connectionists@cs.cmu.edu; Mon, 17 Jun 1996 10:29:06 +0100 (BST) From: rafal@mech.gla.ac.uk To: Connectionists@cs.cmu.edu Subject: New book on neurcontrol Contributed by: Rafal Zbikowski, PhD Control Group, Department of Mechanical Engineering, Glasgow University, Glasgow G12 8QQ, Scotland, UK rafal@mech.gla.ac.uk NEW BOOK ON NEUROCONTROL ``Neural Adaptive Control Technology'' R Zbikowski and K J Hunt (Editors) World Scientific, 1996 ISBN 981-02-2557-1 hard bound, 340pp, subject index Full details: http://www.mech.gla.ac.uk/~nactftp/nact.html http://www.singnet.com.sg/~wspclib/Books/compsci/3021.html Summary ^^^^^^^ This book is an outgrowth of the workshop on Neural Adaptive Control Technology, NACT I, held in 1995 in Glasgow. Selected workshop participants were asked to substantially expand and revise their contributions to make them into full papers. The workshop was organised in connection with a three-year European Union funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland). A major aim of the NACT project is to develop a systematic engineering procedure for designing neural controllers for non-linear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from Daimler-Benz. In the book emphasis is put on development of sound theory of neural adaptive control for non-linear control systems, but firmly anchored in the engineering context of industrial practice. Therefore the contributors are both renowned academics and practitioners from major industrial users of neurocontrol. Contents ^^^^^^^^ Part I Neural Adaptive Control Technology Chapter 1 J. C. Kalkkuhl and K. J. Hunt (Daimler-Benz AG) ``Discrete-time Neural Model Structures for Continuous Nonlinear Systems: Fundamental Properties and Control Aspects'' Chapter 2 P.~J.~Gawthrop (University of Glasgow) ``Continuous-Time Local Model Networks'' Chapter 3 R. {\.Z}bikowski and A. Dzieli{\'n}ski (University of Glasgow) ``Nonuniform Sampling Approach to Control Systems Modelling with Feedforward Neural Networks'' Part II Non-linear Control Fundamentals for Neural Networks Chapter 4 W. Respondek (Polish Academy of Sciences) ``Geometric Methods in Nonlinear Control Theory: A Survey'' Chapter 5 T. Kaczorek (Warsaw University of Technology) ``Local Reachability, Local Controllability and Observability of a Class of 2-D Bilinear Systems'' Chapter 6 T. A. Johansen and M. M. Polycarpou (SINTEF and University of Cincinnati) ``Stable Adaptive Control of a General Class of Non-linear Systems'' Part III Neural Techniques and Applications Chapter 7 J-M. Renders and M. Saerens (Universit{\'e} Libre de Bruxelles) ``Robust Adaptive Neurocontrol of MIMO Continuous-time Processes Based on the $e_1$-modification Scheme'' Chapter 8 I. Rivals and L. Personnaz ({\'E}cole Superieure de Physique et de Chimie Industrielles) ``Black-Box Modeling with State-Space Neural Networks'' Chapter 9 D. A. Sofge and D. L. Elliott (NeuroDyne, Inc.) ``An Approach to Intelligent Identification and Control of Nonlinear Dynamical Systems'' Chapter 10 W. S. Mischo (Darmstadt Institute of Technology) ``How to Adapt in Neurocontrol: A Decision for CMAC'' Chapter 11 G. T. Lines and T. Kavli (SINTEF Instrumentation) ``The Equivalence of Spline Models and Logic Applied to Model Construction and Interpretation'' Index Preface ^^^^^^^ This book is an outgrowth of the workshop on Neural Adaptive Control Technology, NACT I, held on May 18--19, 1995 in Glasgow. However, this book is not simply the conference proceedings. Instead, selected workshop participants were asked to substantially expand and revise their contributions to make them into full papers. Before the contents of the book is discussed, it seems in order to briefly sketch the background and purpose of the workshop. The event was organised in connection with a three-year European Union funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland). The NACT project, which began on 1 April 1994, is a study of the fundamental properties of neural network based adaptive control systems. Where possible, links with traditional adaptive control systems are exploited. A major aim is to develop a systematic engineering procedure for designing neural controllers for non-linear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from within the Daimler-Benz group of companies. This context dictated the focus of the workshop and guided the editors in the choice of the papers and their subsequent reshaping into substantive book chapters. Thus, emphasis is put on development of a sound theory of neural adaptive control for non-linear control systems, but firmly anchored in the engineering context of industrial practice. Therefore, the contributors are both renowned academics and practitioners from major industrial users of neurocontrol. The book naturally divides into three parts. Part I is devoted to the theoretical and practical results on neural adaptive control technology resulting from the NACT project. Chapter 1 by J.~C.~Kalkkuhl and K.~J.~Hunt analyses several important fundamental issues so far largely ignored in the neurocontrol context. The issue of prime importance, and thus treated first, is that of the discretisation of continuous-time models. The physical plants are continuous-time, but the practicality of digital implementations require discrete-time representations. A careful discussion is presented exposing the limitations of NARMAX models, widely used in neurocontrol. This sets the stage for the finite-element method approach to approximation of NARMAX models. Chapter~2 is written by Peter J.~Gawthrop, a well-known contributor to adaptive control, in particular, continuous-time self-tuning. Following this line, the continuous-time version of Local Model Networks/Controllers is introduced. The structure has some surprising connections to the state observation problem. This leads to the important distinction between local and global states of the model. The exposition is accompanied by simulations of essentially non-linear systems. Chapter 3 by R.~{\.Z}bikowski and A.~Dzieli{\'n}ski introduces and describes in some detail the nonuniform multi-dimensional sampling approach to neurocontrol with feedforward neural networks. The authors argue that this is a natural theoretical framework for practical control engineering problems, because the measured data representing the NARMA model come as multidimensional samples. The dynamics of the underlying system manifest themselves by nonuniformity of the data and thus the irregular spread of the samples is an essential feature of the representation. A novel method of neural modelling of NARMA systems is given. Important practical issues of distortions caused by approximation of the Fourier transform are addressed. A tutorial survey of the theory of Paley-Wiener functions, with emphasis on the neural modelling aspects, completes the presentation. Part II is devoted to results of non-linear control, relevant to theory of neurocontrol. It opens with Chapter 4 by Witold Respondek, whose pioneering work in the beginning of the 1980s resulted in explosive development (lasting to this day) of geometric methods in non-linear control. In fact, `geometric control' has practically become synonymous with non-linear control. Recently, the rich and consistent theory has been used more often in the context of neurocontrol, because of the need for a control framework for (non-linear) neural models. Being an important and active participant in the development of the geometric approach, Respondek offers valuable insights into the underlying mathematics, while never compromising on rigour. His lucid style is supported by numerous illustrations and examples making the chapter a readable and informative introduction. It is a welcome feature for a subject dominated by presentations often deprived of geometric feeling and overloaded with distracting technicalities. Chapter 5 gives another theoretical perspective, this time from Tadeusz Kaczorek, a major contributor to the theory of 2-D control systems. Chapter 6 by T.~A.~Johansen and M.~M.~Polycarpou deals with the important, yet often neglected, issue of stability of adaptive control of non-linear systems. Part III presents various aspects of neural control and its applications. It starts with Chapter 7 by J-M.~Renders and M.~Saerens. These authors develop local stability results for an adaptive neurocontrol strategy. Weight adaptation is based upon Lyapunov stability theory. The next chapter, Chapter 8, is co-authored by the well-known neural networks researchers I.~Rivals and L.~Personnaz who consider state-space models for neurocontrol as an alternative to the predominant input-output approach. Chapter 9 brings the intelligent control perspective on neural issues by one of the major players in the field, Donald A.~Sofge. Chapter 10 by W.~S.~Mischo (from Henning Tolle's CMAC school) presents theory and applications of CMAC-type memories for learning control. Finally, Chapter 11 by G.~Lines and T.~Kavli presents the results of applying spline-based adaptive methods for the development of dynamics models. The interpretation of the spline models as fuzzy systems is also examined. Rafa{\l} \.Zbikowski, Kenneth Hunt Glasgow, Berlin: December, 1995 From ingber@ingber.com Tue Jun 18 15:02:57 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id PAA11906 for ; Tue, 18 Jun 1996 15:02:50 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id PAA02068 for ; Tue, 18 Jun 1996 15:02:46 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab07361; 18 Jun 96 13:35:10 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab07359; 18 Jun 96 13:08:44 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01536; 18 Jun 96 13:08:20 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa06700; 18 Jun 96 11:24:34 EDT Received: from alumni.caltech.edu by CS.CMU.EDU id aa00433; 18 Jun 96 11:24:11 EDT Received: (from ingber@localhost) by alumni.caltech.edu (8.7.5/8.7.3) id IAA20598 for connectionists@cs.cmu.edu; Tue, 18 Jun 1996 08:23:00 -0700 (PDT) Message-Id: <199606181523.IAA20598@alumni.caltech.edu> From: Lester Ingber Date: Tue, 18 Jun 1996 11:23:00 -0700 Reply-To: Lester Ingber X-URL: http://www.ingber.com/ X-FTP: ftp.ingber.com X-Mailer: Mail User's Shell (7.2.6 alpha(3) 7/19/95) To: connectionists@cs.cmu.edu Subject: Papers: Canonical Momenta Indicators of EEG as well as markets Papers: Canonical Momenta Indicators of EEG as well as markets I have some preliminary results of calculations in progess, using Adaptive Simulated Annealing (ASA code in my archive), developing Canonical Momenta Indicators (CMI) from a large EEG study, where the raw data is modeled using my Statistical Mechanics of Neocortical Interactions (SMNI) model. The CMI give somewhat enhanced signal to noise resolutions over the raw data, and are candidates to be further processed as is ordinary EEG data. The current prelimary results are in smni96_lecture.ps.Z [1300K] %A L. Ingber %T Statistical mechanics of neocortical interactions (SMNI) %R SMNI Lecture Plates %I Lester Ingber Research %C McLean, VA %D 1996 %O URL http://www.ingber.com/smni96_lecture.ps.Z These plates contain recent preliminary results on Canonical Momenta Indicators (CMI) in the later sections. Under WWW, smni96_lecture.html permits viewing as a series of gif files. There are several smni... papers in my archive giving more details of the use of ASA and of SMNI. The direct application of SMNI to EEG data is relatively recent and described in smni91_eeg.ps.Z [500K] %A L. Ingber %T Statistical mechanics of neocortical interactions: A scaling paradigm applied to electroencephalography %J Phys. Rev. A %N 6 %V 44 %P 4017-4060 %D 1991 %O URL http://www.ingber.com/smni91_eeg.ps.Z These methods were applied to S&P 500 cash-futures markets data as well, as reported in some markets... papers in my archive, and there too the CMI give better signal to noise resolution than just the raw data. A short explanation is given in markets96_brief.ps.Z [40K] %A L. Ingber %T Trading markets with canonical momenta and adaptive simulated annealing %R Report %I Lester Ingber Research %C McLean, VA %D 1996 %O URL http://www.ingber.com/markets96_brief.ps.Z Under WWW, markets96_brief.html permits viewing as a series of gif files. This paper gives relatively non-technical descriptions of ASA and canonical momenta, and their applications to markets and EEG. The paper was solicited by and then accepted for publication in AI in Finance, but that journal subsequently ceased all publication. Shorter versions are published in Expert Analytica and to be published in A User's Manual to Computerized Trading, I. Nelken and M.G. Jurik, Eds. Lester ======================================================================== Instructions for Retrieval of Code and Reprints Interactively Via WWW The archive can be accessed via WWW path http://www.ingber.com/ Interactively Via Anonymous FTP Code and reprints can be retrieved via anonymous ftp from ftp.ingber.com. Interactively [brackets signify machine prompts]: [your_machine%] ftp ftp.ingber.com [Name (...):] anonymous [Password:] your_e-mail_address [ftp>] binary [ftp>] ls [ftp>] get file_of_interest [ftp>] quit The 00index file contains an index of the other files. Files have the same WWW and FTP paths under the main / directory; i.e., http://www.ingber.com/a_directory/a_file and ftp://ftp.ingber.com/a_directory/a_file reference the same file. Electronic Mail If you do not have ftp access, get information on the FTPmail service by: mail ftpmail@ftpmail.ramona.vix.com (was ftpmail@decwrl.dec.com), and send only the word "help" in the body of the message. Additional Information Sorry, I cannot assume the task of mailing out hardcopies of code or papers. Limited help assisting people with their queries on my codes and papers is available only by electronic mail correspondence. Lester ======================================================================== /* RESEARCH ingber@ingber.com * * INGBER ftp://ftp.ingber.com * * LESTER http://www.ingber.com/ * * Prof. Lester Ingber _ P.O. Box 857 _ McLean, VA 22101 _ 1.800.L.INGBER */ From jourjine@arktur.zfe.siemens.de Tue Jun 18 20:50:31 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id UAA16699 for ; Tue, 18 Jun 1996 20:50:21 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id UAA06348 for ; Tue, 18 Jun 1996 20:50:19 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa07361; 18 Jun 96 13:34:06 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa07359; 18 Jun 96 13:08:43 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01531; 18 Jun 96 13:08:01 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa05822; 18 Jun 96 10:07:05 EDT Received: from david.siemens.de by RI.CMU.EDU id aa11461; 18 Jun 96 10:06:54 EDT Received: from ztivax.zfe.siemens.de (ztivax.siemens.de) by david.siemens.de with SMTP id AA28205 (5.67a/IDA-1.5 for ); Tue, 18 Jun 1996 16:05:41 +0200 Received: from efg.zfe.siemens.de (arktur) by ztivax.zfe.siemens.de with SMTP id AA16391 (5.67a/IDA-1.5 for ); Tue, 18 Jun 1996 16:05:42 +0200 Received: from kapella.nisced by efg.zfe.siemens.de (4.1/SMI-4.1) id AA19271; Tue, 18 Jun 96 16:06:45 +0200 Received: by kapella.nisced (SMI-8.6/SMI-SVR4) id QAA22431; Tue, 18 Jun 1996 16:06:45 +0200 Date: Tue, 18 Jun 1996 16:06:45 +0200 From: "Dr. Alexander Jourjine" Message-Id: <199606181406.QAA22431@kapella.nisced> To: Connectionists@cs.cmu.edu Subject: applied theory position at SNAT, Dresden, Germany A position is open in the algorithm development group of the Applications Software Dept. at Siemens Nixdorf Advanced Technologies GmbH, a fully owned subsidiary of Siemens Nixdorf AG. We work on face recognition, 3D object recognition, and failure prediction/novelty detection products. An ideal candidate would be a theoretical physicist or a mathematician with exposure to or original research in some of the following areas. 1. Mathematical physics. - Differential eqs - Integral eqs. - Prob. theory - Functional theory - Differential geometry of manifolds. 2. Dynamical systems and chaos theory 3. Optimization techniques: Monte Carlo etc. 4. Math. foundations of neural networks/GA Familiarity with image processing and/or IDL is a plus. We work in Unix and PC environments. The work involves a close collaboration with professional software developers to concieve, design and develope a range of commercial products. Publications, conference attendance, and patenting are encouraged. Work style is informal but there is a lot of pressure to finish things on time. Working language is English. Salary depends on qualifications. Some knowledge of German is helpful. Position is available immediately. For further questions please e-mail Alex Jourjine at jourjine.drs@sni.de. From piuri@elet.polimi.it Wed Jun 19 04:38:19 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id EAA21649 for ; Wed, 19 Jun 1996 04:38:10 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id EAA09840 for ; Wed, 19 Jun 1996 04:38:08 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa08048; 19 Jun 96 0:39:22 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa08044; 19 Jun 96 0:29:50 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01807; 19 Jun 96 0:29:11 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa23908; 17 Jun 96 14:27:42 EDT Received: from ims.ims.unico.it by RI.CMU.EDU id aa07221; 17 Jun 96 14:27:19 EDT Received: from (localhost [127.0.0.1]) by ims.ims.unico.it (8.6.12/8.6.12) with SMTP id UAA06071; Mon, 17 Jun 1996 20:19:30 +0200 Date: Mon, 17 Jun 1996 20:19:30 +0200 Message-Id: <9606171801.AA12772@ipmel2.elet.polimi.it> Errors-To: conferences-owner@ims.unico.it Reply-To: conferences@ims.unico.it Originator: conferences@ims.unico.it Sender: conferences@ims.unico.it Precedence: bulk From: Vincenzo Piuri To: Multiple recipients of list Subject: Journal of Integrated Computer-Aided Engineering X-Listprocessor-Version: 6.0c -- ListProcessor by Anastasios Kotsikonas X-Comment: Conferences informations ============================================================================== JOURNAL OF INTEGRATED COMPUTER-AIDED ENGINEERING John Wiley & Sons Inc. Publisher SPECIAL ISSUE ON NEURAL TECHNIQUES FOR INDUSTRIAL APPLICATIONS ============================================================================== >>> CALL FOR PAPERS <<< ============================================================================== The Journal of Integrated Computer-Aided Engineering has planned a special issue on Neural Techniques for Industrial Applications. Interested authors are invited to submit manuscripts based on their recent results on any aspect of Identification, Prediction and Control in industrial applications, including, but not limited to, theoretical foundations of the neural computation, neural models, network optimization, learning procedures, sensitivity analysis, experimental results, dedicated architectures, software simulation, implementations, embedded systems, and practical application cases. One of the main focus of the Journal is in fact the integration of new and emerging computing technologies for innovative solutions of engineering problems. Submitted manuscripts should not have been previously published in journals or books or being currently under consideration elsewhere. All manuscript should include a covering page containing: the title of the paper, full name(s) and affiliation(s) of the author(s), complete surface and electronic (if available) address(es), telephone and fax number(s). The corresponding author should be clearly identified on the title page. The manuscript should include a 300-word abstract and a list of keywords characterising the paper contents. Deadlines: November 30, 1996 five copies of the manuscript March 30, 1997 notification of acceptance/rejection. May 1, 1997 final version of the manuscript including the original artwork, author(s) biograpical information, and signed copyright forms Please, submit your manuscript(s), or direct your questions to either of the Guest Editors: Vincenzo Piuri Department of Electronics and Information Politecnico di Milano Piazza L. da Vinci 32 20133 Milano, Italy Phone +39-2-2399-3606 Fax +39-2-2399-3411 Email piuri@elet.polimi.it Cesare Alippi C.S.I.S.E.I. CNR - National Research Council Piazza L. da Vinci 32 20133 Milano, Italy Phone +39-2-2399-3512 Fax +39-2-2399-3411 Email alippi@elet.polimi.it ============================================================================== From horvitz@MICROSOFT.com Wed Jun 19 04:38:20 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id EAA21651 for ; Wed, 19 Jun 1996 04:38:12 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id EAA09842 for ; Wed, 19 Jun 1996 04:38:09 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab08048; 19 Jun 96 0:40:40 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab08044; 19 Jun 96 0:29:52 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01813; 19 Jun 96 0:29:32 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id ac15433; 18 Jun 96 20:52:54 EDT Received: from tide21.microsoft.com by RI.CMU.EDU id aa14670; 18 Jun 96 20:52:28 EDT Received: by tide21.microsoft.com with Microsoft Exchange (IMC 4.0.838.14) id <01BB5D3E.85DAB8C0@tide21.microsoft.com>; Tue, 18 Jun 1996 17:49:39 -0700 Message-ID: From: Eric Horvitz To: "'connectionists@cs.cmu.edu'" Cc: "'horvitz@cs.washington.edu'" Subject: UAI-96 program and registration information Date: Tue, 18 Jun 1996 17:48:43 -0700 X-Mailer: Microsoft Exchange Server Internet Mail Connector Version 4.0.838.14 Encoding: 888 TEXT ========================================================= P R O G R A M A N D R E G I S T R A T I O N ========================================================= ** U A I 96 ** THE TWELFTH ANNUAL CONFERENCE ON UNCERTAINTY IN ARTIFICIAL INTELLIGENCE August 1-4, 1996 Reed College Portland, Oregon, USA ======================================= UAI WWW page at http://cuai-96.microsoft.com/ The effective handling of uncertainty is critical in designing, understanding, and evaluating computational systems tasked with making intelligent decisions. For over a decade, the Conference on Uncertainty in Artificial Intelligence (UAI) has served as a central meeting on advances in methods for reasoning under uncertainty in computer-based systems. The conference serves as an annual international forum for exchanging results on the use of principled methods to solve difficult challenges with inference, learning and decision making under uncertainty. * * * UAI 96 events include a full-day course on uncertain reasoning on the day before the main UAI 96 conference (Wednesday, July 31) at Reed College. Details on the course are available at: http://cuai-96.microsoft.com/tutor.htm * * * On Sunday, August 4, we will hold a UAI-KDD Special Joint Session on Learning, Probability, and Graphical Models at the Portland Convention Center. See information on the program below. * * * UAI-96 will begin shortly before KDD-96 (http://www-aig.jpl.nasa.gov/kdd96/), AAAI-96 (http://www.aaai.org/Conferences/National/1996/aaai96.html), and the AAAI workshops, and will be in close proximity to these meetings. * * * Refer to the UAI-96 WWW home page for late-breaking information: http://cuai-96.microsoft.com/ ========================================================== ** UAI-96 Conference Program ** ========================================================== ** Wednesday, July 31, 1996 ** Conference and Course Registration 8:00-8:30am Full-Day Course on Uncertain Reasoning 8:35-5:30pm (See: http://cuai-96.microsoft.com/ for course details) ========================================================== ** Thursday, August 1, 1996 ** Plenary Session I: Perspectives on Inference 8:45-10:15am Toward a Market Model for Bayesian Inference D. Pennock and M. Wellman A unifying framework for several probabilistic inference algorithms R. Dechter Computing upper and lower bounds on likelihoods in intractable networks T. Jaakkola and M. Jordan (Outstanding Student Paper Award) Query DAGs: A practical paradigm for implementing belief-network inference A. Darwiche and G. Provan Break 10:15-10:30am Plenary Session II: Applications of Uncertain Reasoning 10:30-12:00am MIDAS: An Influence Diagram for Management of Mildew in Winter Wheat A. Jensen and F. Jensen Optimal Factory Scheduling under Uncertainty using Stochastic Dominance A* P. Wurman and M. Wellman Supply Restoration in Power Distribution Systems --- A Case Study in Integrating Model-Based Diagnosis and Repair Planning S. Thiebaux, M. Cordier, O. Jehl, J. Krivine Network Engineering for Complex Belief Networks S. Mahoney and K. Laskey * Panel Discussion: "Reports from the front: Real-world experiences with uncertain reasoning systems" 12:00-12:45pm Moderator: Bruce D'Ambrosio Lunch 12:45-2:00pm Plenary Session III: Representation and Independence 2:00-3:40pm Context-Specific Independence in Bayesian Networks C. Boutilier, N. Friedman, M. Goldszmidt, D. Koller Binary Join Trees P. Shenoy Why is diagnosis using belief networks insensitive to imprecision in probabilities? M. Henrion, M. Pradhan, K. Huang, B. del Favero, G. Provan, P. O'Rorke On separation criterion and recovery algorithm for chain graphs Milan Studeny Poster Session I: Overview Presentations 3:40-4:00pm Poster Session I 4:00-6:00pm Inference Using Message Propagation and Topology Transformation in Vector Gaussian Continuous Networks S. Alag and A. Agogino Constraining Influence Diagram Structure by Generative Planning: An Application to the Optimization of Oil Spill Response J. Agosta An Alternative Markov Property for Chain Graphs S. Andersson, D. Madigan, and M. Perlman Object Recognition with Imperfect Perception and Redundant Description C. Barrouil and J. Lemaire A Sufficiently Fast Algorithm for Finding Close to Optimal Junction Trees A. Becker and D. Geiger Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network D. Chickering and D. Heckerman Independence with Lower and Upper Probabilities L. Chrisman Topological Parameters for Time-Space Tradeoff R. Dechter A Qualitative Markov Assumption and its Implications for Belief Change N. Friedman and J. Halpern A Probabilistic Model for Sensor Validation P. Ibarguengoytia and L. Sucar Bayesian Learning of Loglinear Models for Neural Connectivity K. Laskey and L. Martignon Geometric Implications of the Naive Bayes Assumption M. Peot Optimal Monte Carlo Estimation of Belief Network Inference M. Pradhan and P. Dagum On Coarsening and Feedback K. Reiser and Y. Chen A Discovery Algorithm for Directed Cyclic Graphs Thomas Richardson Efficient Enumeration of Instantiations in Bayesian Networks S. Srinivas and P. Nayak UAI-96 Meeting on Bayes Net Interchange Format 7:30-9:30pm (More information: http://cuai-96.microsoft.com/bnif.htm) ========================================================== ** Friday, August 2, 1996 Plenary Session IV: Time, Persistence, and Causality 8:45-10:15am A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modelling Techniques C. Aliferis and G. Cooper Identifying independencies in causal graphs with feedback J. Pearl and R. Dechter Topics in Decision-Theoretic Troubleshooting: Repair and Experiment J. Breese and D. Heckerman A Polynomial-Time Algorithm for Deciding Equivalence of Directed Cyclic Graphical Models T. Richardson (Outstanding Student Paper Award) Break 10:15-10:30am Plenary Session V: Planning and Action under Uncertainty 10:30-12:00pm A Measure of Decision Flexibility R. Shachter and M. Mandelbaum A Graph-Theoretic Analysis of Information Value K. Poh and E. Horvitz Sound Abstraction of Probabilistic Actions in The Constraint Mass Assignment Framework A. Doan and P.Haddawy Flexible Policy Construction by Information Refinement M. Horsch and D. Poole * Panel Discussion: "Automated construction of models: Why, How, When?" 12:00-12:45pm Moderator: Daphne Koller Lunch 12:45-2:00pm Plenary Session VI: Qualitative Reasoning and Abstraction of Probability 2:00-3:30pm Generalized Qualitative Probability D. Lehmann Uncertain Inferences and Uncertain Conclusions H. Kyburg, Jr. Arguing for Decisions: A Qualitative Model of Decision Making B. Bonet and H. Geffner Defining Relative Likelihood in Partially Ordered Preferential Structures J. Halpern Poster Session II: Overview Presentations 3:40-4:00pm Poster Session II 4:00-6:00pm An Algorithm for Finding Minimum d-Separating Sets in Belief Networks S. Acid and L. de Campos Plan Development using Local Probabilistic Models E. Atkins, E. Durfee, K. Shin Entailment in Probability of Thresholded Generalizations D. Bamber Coping with the Limitations of Rational Inference in the Framework of Possibility Theory S. Benferhat, D. Dubois, H. Prade Decision-Analytic Approaches to Operational Decision Making: Application and Observation T. Chavez Learning Equivalence Classes of Bayesian Network Structures D. Chickering Propagation of 2-Monotone Lower Probabilities on an Undirected Graph L. Chrisman Quasi-Bayesian Strategies for Efficient Plan Generation: Application to the Planning to Observe Problem F. Cozman and E. Krotkov Some Experiments with Real-Time Decision Algorithms B. D'Ambrosio and S. Burgess An Evaluation of Structural Parameters for Probabilistic Reasoning: Results on Benchmark Circuits Y. El Fattah and R. Dechter Learning Bayesian Networks with Local Structure N. Friedman M. Goldszmidt Theoretical Foundations for Abstraction-Based Probabilistic Planning V. Ha and P. Haddawy Probabilistic Disjunctive Logic Programming L. Ngo A Framework for Decision-Theoretic Planning I: Combining the Situation Calculus, Conditional Plans, Probability and Utility D. Poole Coherent Knowledge Processing at Maximum Entropy by SPIRIT W. Roedder and C. Meyer Real-Time Estimation of Bayesian Networks R. Welch Testing Implication of Probabilistic Dependencies S.K.M. Wong UAI-96 Banquet and Invited Talk 7:30-9:30pm ========================================================= ** Saturday, August 3, 1996 ** Plenary Session VII: Developments in Belief and Possibility 8:45-10:00am Belief Revision in the Possibilistic Setting with Uncertain Inputs D. Dubois and H. Prade Approximations for Decision Making in the Dempster-Shafer Theory of Evidence M. Bauer Possible World Partition Sequences: A Unifying Framework for Uncertain Reasoning C. Teng Break 10:00-10:15am Plenary Session VIII: Learning and Uncertainty 10:15-11:45pm Asymptotic model selection for directed networks with hidden variables D. Geiger, D. Heckerman, C. Meek On the Sample Complexity of Learning Bayesian Networks N. Friedman and Z. Yakhini Learning Conventions in Multiagent Stochastic Domains using Likelihood Estimates C. Boutilier Critical Remarks on Single Link Search in Learning Belief Networks Y. Xiang, S.K.M Wong, N. Cercone * Panel Discussion: "Learning and Uncertainty: The Next Steps" 11:45-12:30pm Moderator: G. Cooper Lunch 12:30-2:00pm Plenary Session IX: Advances in Approximate Inference 2:00-3:45pm Computational complexity reduction for BN2O networks using similarity of states A. Kozlov and J. Singh Sample-and-Accumulate Algorithms for Belief Updating in Bayes Networks E. Santos Jr., S. Shimony, E. Williams Tail Simulation in Bayesian Networks E. Castillo, C. Solares, P. Gomez Efficient Search-Based Inference for Noisy-OR Belief Networks: TopEpsilon K. Huang and M. Henrion Break 3:45-4:00pm * Panel Discussion: "UAI by 2005: Reflections on critical problems, directions, and likely achievements for the next decade" 4:00-5:00pm Moderator: Eric Horvitz Report on the Bayes Net Interchange Format Meeting 5:00-5:20 UAI Planning Meeting 5:30-6:00 ================================================================ ** Sunday, August 4, 1996 ** UAI-KDD Special Joint Sessions Portland Convention Center Selected talks on learning graphical models from the UAI and KDD proceedings. UAI badges will be honored at the Portland Convention Center for the joint session. Plenary Session X: Learning, Probability, and Graphical Models I 8:30-12:00pm KDD: Knowledge Discovery and Data Mining: Toward a Unifying Framework U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth UAI: Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network D. Chickering and D. Heckerman KDD: Clustering using Monte Carlo Cross-Validation P. Smyth UAI: Learning Equivalence Classes of Bayesian Network Structures D. Chickering Break 9:45-10:05am Plenary Session XI: Learning, Probability, and Graphical Models II 10:05-12:00pm UAI: Learning Bayesian Networks with Local Structure N. Friedman and M. Goldszmidt KDD: Rethinking the Learning of Belief Network Probabilities R. Musick UAI: Bayesian Learning of Loglinear Models for Neural Connectivity K. Laskey and L. Martignon KDD: Harnessing Graphical Structure in Markov Chain Monte Carlo Learning P. Stolorz ================================================================ Organization: Program Cochairs: ================= Eric Horvitz Microsoft Research, 9S Redmond, WA 98052 Phone: (206) 936 2127 Fax: (206) 936 0502 Email: horvitz@microsoft.com WWW: http://www.research.microsoft.com/research/dtg/horvitz/ Finn Jensen Department of Mathematics and Computer Science Aalborg University Fredrik Bajers Vej 7,E DK-9220 Aalborg OE Denmark Phone: +45 98 15 85 22 (ext. 5024) Fax: +45 98 15 81 29 Email: fvj@iesd.auc.dk WWW: http://www.iesd.auc.dk/cgi-bin/photofinger?fvj General Conference Chair (General conference inquiries): ======================== Steve Hanks Department of Computer Science and Engineering, FR-35 University of Washington Seattle, WA 98195 Tel: (206) 543 4784 Fax: (206) 543 2969 Email: hanks@cs.washington.edu UAI Program Committee ====================== Fahiem Bacchus, University of Waterloo, Cananda Salem Benferhat, IRIT Universite Paul Sabatier, France Philippe Besnard, IRISA, France Mark Boddy, Honeywell Technology Center, USA Piero Bonissone, General Electric Research Laboratory, USA Craig Boutilier, University of British Columbia, Canada Jack Breese, Microsoft Research, USA Wray Buntine, Thinkbank, USA Luis M. de Campos, Universidad de Granada, Spain Enrique Castillo, Universidad de Cantabria, Spain Eugene Charniak, Brown University, USA Greg Cooper, University of Pittsburgh, USA Bruce D'Ambrosio, Oregon State University, USA Paul Dagum, Stanford University, USA Adnan Darwiche, Rockwell Science Center, USA Tom Dean, Brown University, USA Denise Draper, University of Washington, USA Marek Druzdzel, University of Pittsburgh, USA Didier Dubois, IRIT Universite Paul Sabatier, France Ward Edwards, University of Southern California, USA Kazuo Ezawa, AT&T Labs, USA Nir Friedman, Stanford University, USA Robert Fung, Prevision, USA Linda van der Gaag, Utrecht University, Netherlands Hector Geffner, Universidad Simon Bolivar, Venezuela Dan Geiger, Technion, Israel Lluis Godo, Campus Universitat Autonoma Barcelona, Spain Robert Goldman, Honeywell Technology Center, USA Moises Goldszmidt, SRI International, USA Adam Grove, NEC Research Institute, USA Peter Haddawy, University of Wisconsin-Milwaukee, USA Petr Hajek, Academy of Sciences, Czech Republic Joseph Halpern, IBM Almaden Research Center, USA Steve Hanks, University of Washington, USA Othar Hansson, Thinkbank, USA Peter Hart, Ricoh California Research Center, USA David Heckerman, Microsoft Research, USA Max Henrion, Lumina, USA Frank Jensen, Hugin Expert A/S, Denmark Michael Jordan, MIT, USA Leslie Pack Kaelbling, Brown University, USA Uffe Kjaerulff, Aalborg University, Denmark Daphne Koller, Stanford University, USA Paul Krause, Imperial Cancer Research Fund, UK Rudolf Kruse, University of Braunschweig, Germany Henry Kyburg, University of Rochester, USA Jerome Lang, IRIT Universite Paul Sabatier, France Kathryn Laskey, George Mason University, USA Paul Lehner, George Mason University, USA John Lemmer, Rome Laboratory, USA Tod Levitt, IET, USA Ramon Lopez de Mantaras, Spanish Scientific Research Council, Spain David Madigan, University of Washington, USA Christopher Meek, Carnegie Mellon University, USA Serafin Moral, Universidad de Granada, Spain Eric Neufeld, University of Saskatchewan, Canada Ann Nicholson, Monash University, Australia Ramesh Patil, Information Sciences Institute, USC, USA Judea Pearl, University of California, Los Angeles, USA Kim Leng Poh, National University of Singapore David Poole, University of British Columbia, Canada Henri Prade, IRIT Universite Paul Sabatier, France Greg Provan, Institute for Learning Systems, USA Enrique Ruspini, SRI International, USA Romano Scozzafava, Dip. Me.Mo.Mat., Rome, Italy Ross Shachter, Stanford University, USA Prakash Shenoy, University of Kansas, USA Philippe Smets, IRIDIA Universite libre de Bruxelles, Belgium David Spiegelhalter, Cambridge University, UK Peter Spirtes, Carnegie Mellon University, USA Milan Studeny, Academy of Sciences, Czech Republic Sampath Srinivas, Microsoft, USA Jaap Suermondt, Hewlett Packard Laboratories, USA Marco Valtorta, University of South Carolina, USA Michael Wellman, University of Michigan, USA Nic Wilson, Oxford Brookes University, UK Yang Xiang, University of Regina, Canada Hong Xu, IRIDIA Universite libre de Bruxelles, Belgium John Yen, Texas A&M University, USA Lian Wen Zhang, Hong Kong University of Science & Technology ============================================================== UAI-96 REGISTRATION FORM ============================================================== Please return this form via email to hanks@cs.washington.edu or use the web-based registration form available at the UAI-96 home page at http://cuai-96.microsoft.com to register online. ================================= Registrant Information ================================= Name: __________________________________ Affiliation: ____________________________ Address: ____________________________ ____________________________ ____________________________ Phone: ____________________________ Email address: ____________________________ ================================= Registration information ================================= ____ Register me for the conference Non-student $275 Student $150 Students, please supply: Advisor's name and Email address: _______________________________________ ____ Register me for the full-day course on uncertain reasoning (July 31) Non-student with conference registration $85 without conference registration $135 Student with conference registration $35 without conference registration $50 ================================= Dormitory accomodation ================================= Singles, doubles, and triples are available. All include a private bedroom; doubles and triples share a bathroom. Rates: Single $26.50 per night Double $21.50 per night Triple $16.50 per night _____________ Arrival date (earliest July 30) _____________ Departure date (latest August 4) I am paying for _____ people for _____ nights at a daily rate of _________ for a total of _________ _______________________ Sharing with (doubles and triples only) _______________________ Sharing with (triples only) =============================== Meal service =============================== Conference registration includes the conference banquet on August 2nd. Reed college offers a package of three lunches during the conference for a total of $24. ____________ Please register me for the lunch service ================================= Payment Summary ================================= $______________ Conference registration $______________ Full-day course registration $______________ Lodging charges $______________ Meal charges $______________ TOTAL AMOUNT __________ Please charge my ____ Visa ____ MasterCard ___________________ Card Number ______________ Expiration date _________ I will send a check via surface mail. Address for checks: Steve Hanks Department of Computer Science and Engineering University of Washington Box 352350 Seattle, WA 98195-2350 _________ I will pay at the conference ============================================================ For questions about arrangements and registration issues, contact Steve Hanks (hanks@cs.washington.edu). For questions about the program, contact Eric Horvitz (horvitz@microsoft.com) or Finn Jensen (fvj@iesd.auc.dk). ============================================================ From nikola@prosun.first.gmd.de Wed Jun 19 21:12:21 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id VAA09809 for ; Wed, 19 Jun 1996 21:12:15 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id VAA20905 for ; Wed, 19 Jun 1996 21:12:13 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa08419; 19 Jun 96 4:40:08 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa08417; 19 Jun 96 4:30:30 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa02177; 19 Jun 96 4:29:58 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa20116; 19 Jun 96 4:29:02 EDT Received: from [192.35.150.136] by EDRC.CMU.EDU id aa26286; 19 Jun 96 4:28:16 EDT Received: from ludak.first.gmd.de by prosun.first.gmd.de (4.1/SMI-4.1) id AA18836; Wed, 19 Jun 96 10:28:07 +0200 Date: Wed, 19 Jun 96 10:28:07 +0200 From: Nikola Serbedzija Message-Id: <9606190828.AA18836@prosun.first.gmd.de> To: Connectionists@cs.cmu.edu Subject: CFP: Session on Neurosimulation - 15th IMACS World Congress ================================================================ 15th IMACS WORLD CONGRESS on Scientific Computation, Modelling and Applied Mathematics Berlin, Germany, 24-29 August 1997 Sponsored by DFG, IEEE, IFAC, IFIP, IFORS, IMEKO. General Chair: Prof. A. Sydow (GMD FIRST Berlin, Germany) Honorary Chair: Prof. R. Vichnevetsky (Rutgers University, USA) - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - CALL FOR PAPERS for the Organized Session on "Simulation of Artificial Neural Networks" Session Organizers: Gerd Kock and Nikola Serbedzija ================================================================ The aim of this session is to reflect the current techniques and trends in the simulation of artificial neural networks (ANNs). Both, software and hardware approaches are solicited. Topics of interest are, but not limited to: * General Aspects of Neural Simualations - design issues for simulation tools - inherent parallelism of ANNS - general-purpose neural simulations - special-purpose neural simulations - fault tolerance aspects * Parallel Implementation of ANNs - data parallel implementations - control parallel implementations * Hardware Emulation of ANNs - silicon technology - optical technology - molecular technology * General Simulation Tools - graphic/menu bases tools - module libraries - specific programming languages * Applications - applications using/demanding parallel implementations or hardware emulations - applications using/demanding analysis tools or graphical representations provided by simulation tools * Hybrid Systems - the topics from above are of interest also with respect to related hybrid systems (neuro-fuzzy, genetic algorithms) Authors interested in this session are invited to submit 3 copies of an extended summary (about 4 pages) of the paper to one of the session organizers by December 1st. 1996. Submission can be done also by email. The notification of acceptance/rejection will be mailed by February 28th, 1997. The authors of accepted papers will also receive detailed instructions for the final manuscripts preparation. The submission must contain the following information: The name(s) of the author(s), title(s), affiliation(s), complete address(es) (including email, phone, fax). In addition, the author responsible for communication has to be indicated. Important dates: --------------- December 1st, 1996 Extended summary due February 28th, 1997 Notification of acceptance/rejection April 30th, 1997 Camera-ready paper due Addresses to send contribution: ------------------------------ Dr. Gerd Kock Dr. Nikola Serbedzija GMD FIRST GMD FIRST Rudower Chaussee 5 Rudower Chaussee 5 D - 12489 Berlin D - 12489 Berlin Germany Germany e-mail: gerd@first.gmd.de e-mail: nikola@first.gmd.de tel: +49 30 / 6392 1863 tel: +49 30 / 6392 1873 ================================================================ IMACS The International Association for Mathematics and Computers in Simulation is an organization of professionals and scientists concerned with computers, computation and applied mathematics, in particular, as they apply to the simulation of systems. This includes numerical analysis, mathematical modelling, approximation theory, computer hardware and software, programming languages and compilers. IMACS also concerns itself with the general philosophy of scientific computation and applied mathematics, and with their impact on society and on disciplinary and interdisciplinary research. IMACS is one of the international scientific associations (with IFAC, IFORS, IFIP and IMEKO) represented in FIACC, the five international organizations in the area of computers, automation, instrumentation and the relevant branches of applied mathematics. Of the five, IMACS (which changed its name from AICA in 1976) is the oldest and was founded in 1956. For more information about the 15th IMACS WORLD CONGRESS turn to WWW page http://www.first.gmd.de/imacs97/ ================================================================ From piuri@elet.polimi.it Thu Jun 20 03:44:11 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id DAA13570 for ; Thu, 20 Jun 1996 03:44:03 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id DAA24229 for ; Thu, 20 Jun 1996 03:44:01 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa09190; 19 Jun 96 18:02:27 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa09187; 19 Jun 96 17:43:29 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa02597; 19 Jun 96 17:43:01 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa28296; 19 Jun 96 15:44:47 EDT Received: from [131.175.21.1] by EDRC.CMU.EDU id aa28753; 19 Jun 96 15:44:38 EDT Received: by ipmel2.elet.polimi.it (5.65/DEC-Ultrix/4.3A) id AA28211; Wed, 19 Jun 1996 21:44:30 +0200 Date: Wed, 19 Jun 1996 21:44:30 +0200 From: Vincenzo Piuri Message-Id: <9606191944.AA28211@ipmel2.elet.polimi.it> To: connectionists@cs.cmu.edu Subject: IMACS97 - call for papers ================================================================ 15th IMACS WORLD CONGRESS on Scientific Computation, Modelling and Applied Mathematics Berlin, Germany, 24-29 August 1997 Sponsored by IMACS, DFG, IEEE, IFAC, IFIP, IFORS, IMEKO. General Chair: prof. A. Sydow, GMD FIRST, Germany Honorary Chair: prof. R. Vichnevetsky, Rutgers University, USA ================================================================ Call for Papers for the Special Sessions on Neural Technologies for Control and Signal/Image Processing ================================================================ The aim of this meeting is to make the state of the art and explore the future trends of various aspects of computational engineering encompassing both theory and applications. Due to the increasing interest in industries and in applied research, three special sessions on neural technologies will be organized on theoretical aspects, implementations and applications concerning system control and signal/image processing. Session 1: "Neural Architectures and Implementations" Topics of interest are, but not limited to: theoretical aspects of neural architectures, optimization of neural architectures, design and implementation of digital, analog and mixed structures, software implementations, fault tolerance, architectural sensitivity and design issues. Particular enphasis will be given to architectures and implementations for control and signal processing. Session 2: "Neural Applications for Identification and Control" Topics of interest are, but not limited to: theoretical models for identification and control, methodologies for neural identification, strategies for neural control, architectures for identification and control, forecasting, applications, adaptability, sensitivity. Session 3: "Neural Techniques for Signal/Image Processing" Topics of interest are, but not limited to: theoretical models for signal/image analysis, methodologies for neural signal/image analysis, dedicated architectures, software implementations, optimization of neural paradigms, applications. Authors interested in the above Special Sessions are invited to submit an extended summary (about 5 pages) or the preliminary version of the paper to the Special Session Organizer by November 30, 1996. The submission must contain the following information: title, authors' name and affiliations, the name and the complete address (including affiliation, mail address, phone, fax, and email) of the contact author, the name of the special session. Submission can be done also by fax, email (plain postscript uuencoded files only), ftp (call your postscript file with the name of the first author, connect by ftp anonymous to ipmel2.elet.polimi.it, put your file in the directory pub/papers/Vincenzo.Piuri/imacs97, send an email to the session organizer informing about the submission). Rejection or preliminary acceptance will be mailed by December 15, 1996. Final acceptance will be mailed by February 28, 1997. The final camera-ready version of the paper is due by April 30, 1997. Prof. Vincenzo Piuri Organizer of the Special Sessions on Neural Technologies Department of Electronics and Information Politecnico di Milano piazza L. da Vinci 32 20133 Milano, Italy fax +39-2-2399-3411 email piuri@elet.polimi.it ================================================================ From M.J.van_der_Heijden@Physiology.MedFac.LeidenUniv.nl Thu Jun 20 15:32:49 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id PAA26436 for ; Thu, 20 Jun 1996 15:32:39 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id PAA02414 for ; Thu, 20 Jun 1996 15:32:37 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa10500; 20 Jun 96 14:53:18 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa10498; 20 Jun 96 14:42:21 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa00827; 20 Jun 96 14:41:42 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa10489; 20 Jun 96 8:16:52 EDT Received: from rullf2.MedFac.LeidenUniv.nl by CS.CMU.EDU id aa17996; 20 Jun 96 8:16:19 EDT Received: from rulffn.MedFac.LeidenUniv.nl by rullf2.MedFac.LeidenUniv.nl (PMDF V5.0-4 #2497) id <01I64UXFUV0W8WXH6G@rullf2.MedFac.LeidenUniv.nl> for Connectionists@CS.CMU.EDU; Thu, 20 Jun 1996 14:18:08 +0100 (MET) Date: Thu, 20 Jun 1996 13:06:42 -0700 From: "Marcel J. van der Heyden" Subject: Proceedings of the HELNET Workshops on Neural Networks To: Connectionists@cs.cmu.edu Message-id: <31C9AF52.6FDA@rullf2.MedFac.LeidenUniv.nl> Organization: Dynamical Systems Research - NL MIME-version: 1.0 X-Mailer: Mozilla 2.01 (Win16; I) Content-type: text/plain; charset=us-ascii Content-transfer-encoding: 7bit X-URL: http://www.phys.uni.torun.pl/neural/node2.html HELNET International Workshop on Neural Networks Proceedings Volume I/II (1994/1995) M.J. van der Heyden, J. Mrsic-Floegel and K. Weigl (eds) ** http://www.leidenuniv.nl/medfac/fff/groepc/chaos/helnet/ ** The HELNET workshops are informal meetings primarily targeted towards young researchers from neural networks and related fields. They are traditionally organised a few days prior to the ICANN conferences. Participants are offered the opportunity to present and extensively discuss their work as well as more general topics from the neural network field. In the HELNET proceedings a large variety of topics is treated: from the formal description of networks to neurobiology - from conceptual viewpoints to commercial applications. Thus, this collection of papers gives a comprehensive overview of current and ongoing research on neural networks. The proceedings can be browsed on-line at: http://www.leidenuniv.nl/medfac/fff/groepc/chaos/helnet/ On-line ordering is also provided for using credit card details or having an invoice sent. ---------------------------------------------------------------------- Table of Contents: Development of Spatio-Temporal Receptive Fields for Motion Detection in a Linsker Type Model (S. Wimbauer, W. Gerstner and J.L. van Hemmen) The Dependence on Size and Calcium Dynamics of Motoneuron Firing Properties: A Model Study (Marcel J. van der Heyden, A.A.J. Hilgevoord and L.J. Bour) Annealing in Minimal Free Energy Vector Quantization (D.R. Dersch and P. Tavan) Projection Learning: A Critical Review of Practical Aspects (Konrad Weigl) Transforming Hard Problems into Linearly Separable ones with Incremental Radial Basis Function Networks (B. Fritzke) Why are Neural Nets not Intelligent? (Harald Huening) Aspects of Information Detection using Entropy (Janko Mrsic-Floegel) Generating a Fractal Image by Programmed Cell Death: a Biological Communication Strategy for Parallel Computers (David W.N. Sharp) The Impossibility to Localize Electrical Activity in the Brain from EEG-Recordings by Means of Artificial Neural Networks (Sylvia C. Pont and Bob W. van Dijk) Analysis of Electronic Circuits with Evolutionary Strategies (Harald Gerlach and Joerg D. Becker) Neural Networks and Statistics: A Brief Overview (Marcel J. van der Heyden) Self-Controlling Chaos in Neuromodules (Nico Stollenwerk) The Effects of Feature Selection on Backpropagation in Feed-Forward Neural Networks (Selwyn Piramuthu) Exploring the Role of Emotion in the Design of Autonomous Systems (Raju S. Bapi) A Fusion of Game-Theory Based Learning and Projection Learning for Image Classification (Konrad Weigl and Shan Yu) Codierung eines Problems in die Sprache der Evolution (Harald Gerlach) Modelling the Wiener Cascade Using Time Delayed and Recurrent Neural Networks (M.G. Wagner, I.M. Thompson, S. Manchanda, P.G. Hearne and G.R.R. Greene) Niche memories for Temporal Sequence Processing: learning, recognition and tracking using neural representations (Janko Mrsic-Floegel) Stretching the Limits of Learning Without Modules (Antal van den Bosch and Ton Weijters) The Future for Weightless Systems (Nick Bradshaw) A Way to Improve Error Correction Capability of Hopfield Associative Memory in the Case of Saturation (Dmitry O. Gorodnichy) From listerrj@helios.aston.ac.uk Fri Jun 21 05:28:35 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id FAA05247 for ; Fri, 21 Jun 1996 05:28:28 -0500 Received: from cs.uwa.oz.au (bilby.cs.uwa.oz.au [130.95.1.11]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id FAA09947 for ; Fri, 21 Jun 1996 05:28:23 -0500 Received: from (mafm@parma.cs.uwa.oz.au [130.95.1.7]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id PAA02461; Fri, 21 Jun 1996 15:20:16 +0800 Message-Id: <199606210720.PAA02461@cs.uwa.oz.au> From: Richard Lister To: Connectionists@cs.cmu.edu, reinforce@cs.uwa.edu.au Subject: Neural Computing PhD Studentship available [connectionists] Date: Thu, 20 Jun 1996 15:11:54 +0100 ---------------------------------------------------------------------- PHD STUDENTSHIP --------------- Neural Computing Research Group Aston University, Birmingham, UK * Full details at http://www.ncrg.aston.ac.uk/ * We are seeking highly motivated candidates for a PhD studentship funded by the Engineering and Physical Sciences Research Council. Funding covers tuition fees and living expenses for a student with British citizenship, or fees only for students from European Community countries. The studentship is for a period of three years and the student is expected to gain a PhD in Neural Computing at the end of this period. The successful candidate will be supervised by a member of staff of the Neural Computing Research Group, on a topic to be agreed between the student and supervisor, and will be expected to take taught modules from the "MSc in Pattern Analysis and Neural Networks" degree during the first term. The student will need to be mathematically and computationally proficient, and should hold a first degree (either first class or upper second class honours or equivalent) in mathematics, physics, engineering, statistics, computer science or a similar discipline. The Neural Computing Research Group is one of the largest of its kind in Europe, and currently comprises the following members: Professors: Christopher Bishop David Lowe Visiting Professors: Geoffrey Hinton Edward Feigenbaum David Bounds Lecturers: Richard Rohwer Ian Nabney David Saad Chris Williams 1 further post currently being appointed Postdoctoral Research Fellows: David Barber Paul Goldberg Neep Hazarika Alan McLachlan Mike Tipping Huaiyu Zhu 5 further posts currently being appointed Personal Assistant: Hanni Sondermann System Administrator: Richard Lister Research Programmer: Andrew Weaver 20 Research Students How to Apply ------------ Candidates should submit a completed application form. This may be done via the web from: http://www.ncrg.aston.ac.uk/ Alternatively a paper application form is obtainable from: Hanni Sondermann Neural Computing Research Group Aston University Birmingham B4 7ET, U.K. Tel: (+44 or 0) 121 333 4631 Fax: (+44 or 0) 121 333 4586 e-mail: H.E.Sondermann@aston.ac.uk ---------------------------------------------------------------------- From R.Roy@plymouth.ac.uk Fri Jun 21 06:27:55 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id GAA05866 for ; Fri, 21 Jun 1996 06:27:44 -0500 Received: from cs.uwa.oz.au (bilby.cs.uwa.oz.au [130.95.1.11]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id GAA10211 for ; Fri, 21 Jun 1996 06:27:41 -0500 Received: from (mafm@parma.cs.uwa.oz.au [130.95.1.7]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id PAA02447; Fri, 21 Jun 1996 15:18:33 +0800 Message-Id: <199606210718.PAA02447@cs.uwa.oz.au> From: R Roy To: reinforce@cs.uwa.edu.au Subject: WSC1 Special Session ... Date: Wed, 19 Jun 1996 19:57:31 BST ***************************************************************** 1st On-line Workshop on SOFT COMPUTING (WSC1) August 19 (Mon.) - 30 (Fri.), 1996 Special Session on ENGINEERING PROBLEM SOLVING USING SOFT COMPUTING ***************************************************************** Call for Papers and Invitation to take part in the Discussion ***************************************************************** On behalf of Engineering Design Centre and Neurodynamics Research Group, School of Computing, University of Plymouth, Plymouth, UK, we call for your papers for the special session on 'Engineering Problem Solving using Soft Computing'. The session is planned to integrate experience from different engineering applications of Soft Computing. The objective of the special session is to put forward a common forum where people from different engineering disciplines can talk to each other and share their experiences. The session is intended to discuss the following aspects of Soft Computing Applications in Engineering: 1. General issues in different fields of engineering and how Soft Computing can address those issues more effectively than conventional techniques. 2. Successful industrial applications. 3. Any 'Good Practice Guide' on the Soft Computing Applications. 4. Legal issues involved in protecting an application (that is copyright, patent issues, international law etc.). 5. Social issues involved in effective implementation of the technology. The session also welcomes survey and tutorial style papers. The application areas of interest include but are not limited to : a. Biotechnology b. Chemical Engineering c. Computer Aided Design, Control and Manufacturing d. Engineering Economics and Management e. Systems Engineering f. Vision and Pattern Recognition g. Electronics and Telecommunications h. Medicine and Medical Engineering i. Military Applications j. Food Technology k. Industrial Applications l. Internet Tool Development The contributions can be in the form of : a) 6 page (max) Original paper, to be published in the workshop proceedings. In the case of survey or tutorial style papers authors are encouraged to submit the paper in several parts (such as part I and part II with the same title). b) 6 page (max) paper on your already published work c) YOUR PARTICIPATION in the discussion during the workshop PLEASE NOTE: CONTRIBUTIONS FOR THE SESSION SHOULD BE DIRECTLY SENT TO WSC1 ORGANISERS IN JAPAN. PLEASE MENTION THE NAME OF THE SESSION ON TOP OF YOUR COVER LETTER. Please refer to the ORIGINAL CALL FOR PAPERS below for the submission and further details. For any queries about the special session (only) please send email to: wscplym@soc.plym.ac.uk The Joint Session Organisers from School of Computing, University of Plymouth, Plymouth, PL4 8AA, UK: RAJKUMAR ROY Engineering Design Centre RAJU BAPI Neurodynamics Research Group IAN PARMEE Engineering Design Centre ============================================================== ORIGINAL CALL FOR PAPERS =============================================================== From: furuhashi@nuee.nagoya-u.ac.jp (Takeshi FURUHASHI) Date: Tue, 4 Jun 1996 13:46:10 +0900 Subject: WSC1 This is the preliminary CFP for the 1st Online Workshop on Soft Computing. This is also available on WWW. The URL is http://www.bioele.nuee.nagoya-u.ac.jp/wsc1/ CALL FOR PAPERS The 1st Online Workshop on Soft Computing (WSC1) Aug. 19 (Mon) - Aug. 30 (Fri) On Internet (WWW (World Wide Web) ) Served by Nagoya University We call for your papers for online discussions using the Internet. The purpose of this workshop is to give its attendees opportunities to exchange informaiton and ideas on various aspects of Soft Computing and "save travel expenses" without having to visit foreign countries. We aim to have ample discussion time between the authors and attendees make them visible to everyone on the Internet. This is the 3rd workshop of On-line Workshop series on Internet. The first on-line workshop(WEC1) was held on Oct. 9 - 20, 1995. In spite of the very short preparation time ( 2 weeks ) for the workshop, 22 papers were submitted and great many people visited the home page: http://www.bioele.nuee nagoya-u.ac.jp/wec Encouraged by the unprecedented repercussions, we held the second on- line workshop(WEC2) on March 4 - 22, 1996. More people showed great interest into the workshop. You can still visit the home page at: http://www.bioele.nuee.nagoya-u.ac.jp/wec2 The scope of the 3rd on-line workshop is expanded from those of the preceding workshops. We call for your papers on Soft Computing. The great merit of this workshop series is that you can save travel expenses without having to visit and attendees and make them visible to everyone on the Internet. The WSC1 will welcome original contributions. The proceedings is planned to be published. We all look forward to your active participation. TOPICS: Fuzzy Logic Neuro - Computing Genetic Computing Probabilistic Reasoning Chaos Computing Hybrid Systems IMPORANT DATES: Deadline for Submission of Abstracts and Main Text: Aug. 5, 1996 Opening the papers to the public: Aug. 12, 1996 Workshop Weeks: Aug. 19-30, 1996 SUBMISSION PROCEDURE: Send an abstract and main text to the address below. mail address is : wsc@bioele.nuee.nagoya-u.ac.jp The abstract should be in text file. The main text should be in text file or in ps ( PostScript ) file. The size of the paper should be either A4 ( metric ) or letter size. Papers should be written in Times or similar font style, 10 points or larger with 2.5 cm margins on all four sides. If you write your paper with LaTeX, you can use "IEEEtran.sty" and "wscsample.tex" which is available from http://www.bioele.nuee.nagoya-u.ac.jp/wsc1/form/IEEEtran.sty http://www.bioele.nuee.nagoya-u.ac.jp/wsc1/form/wscsample.tex Another alternative is that if you prepare a WWW page for your main text, please send us only the abstract and tell us the Internet address ( URL ), and yours will be linked to our WWW page. The steering committee will make your abstracts visible on the Internet. The home page address is: URL: http://www.bioele.nuee.nagoya-u.ac.jp/wsc1/ *Note: This workshop will accept papers both original and already published. If your paper is not original, please clarify the source of your paper. Your paper will not be included in the proceedings. If your paper is an original one, you need to send ps file or camera - ready manuscript of your main text. The paper should not exceed 6 pages in length. Please also send us the copyright form by postal mail or facsimile. The proceedings including your original contribution will be published. The copyright form is available also from http://www.bioele.nuee.nagoya-u.ac.jp/wsc1/form/copyright.ps http://www.bioele.nuee.nagoya-u.ac.jp/wsc1/form/copyright.txt DISCUSSION PROCEDURE: 1. Read the abstracts. 2. Copy the main texts ( ps files ) of interested papers. 3. Send questions and comments to wsc@bioele.nuee.nagoya-u.ac.jp (The steering committee will send the questions to the authors and receive answers from the authors, and make the Q&A visible on the Internet.) 4. Read the answers from the authors on http://www.bioele.nuee.nagoya-u.ac.jp/wsc1/ 5. Repeat the above steps 3 and 4 until you are satisfied. OFFICIAL LANGUAGE: English (Notice should be made that the main texts in ps files should not include any fonts other than English.) SESSION ORGANIZERS WANTED: Steering committee would appreciate your contribution as a session organizer. Your job will be to call your colleagues and friends to submit papers and organize a session. If you need further information, please mail to wsc@bioele.nuee.nagoya-u.ac.jp For further information, contact: Takeshi Furuhashi Dept. of Information Electronics Nagoya University, Furo-cho, Chikusaku Nagoya 464-01, Japan Tel. +81-52-789-2792 Fax. +81-52-789-3166 Paper Submission Form Title : Authors : Affiliation : Address : Phone : Fax : e-mail : Source(if your paper is already published): Keywords : Link(if you have a WWW home page of the paper) : Abstract : ---------------------------------------------------------------------- ********************************************************************** Rajkumar Roy Plymouth Engineering Design Centre Charles Cross Centre University of Plymouth Plymouth PL4 8AA UK Email : r.roy@ieee.org, rroy@plymouth.ac.uk Tel. : 01752 233508 ********************************************************************** From shultz@psych.mcgill.ca Fri Jun 21 17:32:04 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id RAA19383 for ; Fri, 21 Jun 1996 17:31:58 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id RAA19450 for ; Fri, 21 Jun 1996 17:31:56 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa11688; 21 Jun 96 16:19:42 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa11678; 21 Jun 96 15:51:12 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01642; 21 Jun 96 15:50:17 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa29320; 21 Jun 96 10:55:47 EDT Received: from hebb.Psych.McGill.CA by CS.CMU.EDU id aa27937; 21 Jun 96 10:54:45 EDT Received: from [132.206.106.55] (echo.Psych.McGill.CA [132.206.106.55]) by hebb.psych.mcgill.ca (8.6.9/8.6.6) with SMTP id KAA16185 for ; Fri, 21 Jun 1996 10:56:46 -0400 Date: Fri, 21 Jun 1996 10:56:46 -0400 X-Sender: shultz@psych.mcgill.ca (Unverified) Message-Id: Mime-Version: 1.0 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable To: connectionists@cs.cmu.edu From: Tom Shultz Subject: Papers available on cognitive development, knowledge and learning, cognitive consistency The following four papers are available at the WWW site for LNSC (Laboratory for Natural and Simulated Cognition at McGill University). http://www.psych.mcgill.ca/labs/lnsc/html/Lab-Home.html Alternatively, ftp addresses are given for each paper. Shultz, T. R., Schmidt, W. C., Buckingham, D., & Mareschal, D. (1995). Modeling cognitive development with a generative connectionist algorithm (pp. 205-261). In T. J. Simon & G. S. Halford (Eds.), Developing cognitive competence: New approaches to process modeling. Hillsdale, NJ: Erlbaum. One of the key unsolved problems in cognitive development is the precise specification of developmental transition mechanisms. In this chapter, we focus on the applicability of a specific generative connectionist algorithm, cascade-correlation (Fahlman & Lebiere, 1990), as a process model of transition mechanisms. Generative connectionist algorithms build their own network topologies as they learn, allowing them to simulate both qualitative and quantitative developmental changes. We compare and contrast cascade-correlation, Piaget's notions of assimilation and accommodation, Papert's little known but historically relevant genetron model, conventional back-propagation networks, and rule-based models. Specific cascade-correlation models of a wide range of developmental phenomena are presented. These include the balance scale task; concepts of potency and resistance in causal reasoning; seriation; integration of the concepts of distance, time, and velocity; and personal pronouns. Descriptions of these simulations stress the degree to which the models capture the essential known psychological phenomena, generate new testable predictions, and provide explanatory insights. In several cases, the simulation results underscore clear advantages of connectionist modeling techniques. Abstraction across the various models yields a set of domain-general constraints for cognitive development. Particular domain-specific constraints are identified. Finally, the models demonstrate that connectionist approaches can be successful even on relatively high-level cognitive tasks. ftp: ego.psych.mcgill.ca/pub/shultz/cog-comp.ps.gz ----------------------------------------------------------------------------= ---- Shultz, T. R., & Lepper, M. R. (1995). Cognitive dissonance reduction as constraint satisfaction. Technical Report No. 2195, McGill Papers in Cognitive Science, McGill University, Montr=E9al. A constraint satisfaction neural network model (the consonance model) simulated data from the two major cognitive dissonance paradigms of insufficient justification and free-choice. In several cases, the model fit the human data better than did cognitive dissonance theory. Superior fits were due to the inclusion of constraints that were not part of dissonance theory and to the increased precision inherent to this computational approach. Predictions generated by the model for a free-choice between undesirable alternatives were confirmed in a new psychological experiment. The success of the consonance model underscores important, unforeseen similarities between what had been formerly regarded as the rather exotic process of dissonance reduction and a variety of other, more mundane psychological processes. Many of these processes can be understood as the progressive application of constraints supplied by beliefs and attitudes. ftp: ego.psych.mcgill.ca/pub/shultz/cog-diss.ps.gz ----------------------------------------------------------------------------= ---- Shultz, T. R., Oshima-Takane, Y., & Takane, Y. (1995). Analysis of unstandardized contributions in cross connected networks. In D. Touretzky, G. Tesauro, & T. K. Leen, (Eds). Advances in Neural Information Processing Systems 7 (pp. 601-608). Cambridge, MA: MIT Press. Understanding knowledge representations in neural nets has been a difficult problem. Principal components analysis (PCA) of contributions (products of sending activations and connection weights) has yielded valuable insights into knowledge representations, but much of this work has focused on the correlation matrix of contributions. The present work shows that analyzing the variance-covariance matrix of contributions yields more valid insights by taking account of weights. ftp: ego.psych.mcgill.ca/pub/shultz/contcros.ps.gz ----------------------------------------------------------------------------= ---- Tetewsky, S. J., Shultz, T. R., & Takane, Y. (1995). Training regimens and function compatibility: Implications for understanding the effects of knowledge on concept learning. Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 304-309). Hillsdale, NJ: Erlbaum. Previous research has indicated that breaking a task into subtasks can both facilitate and interfere with learning in neural networks. Although these results appear to be contradictory, they actually reflect some underlying principles governing learning in neural networks. Using the cascade-correlation learning algorithm, we devised a concept learning task that would let us specify the conditions under which subtasking would facilitate or interfere with learning. The results indicated that subtasking facilitated learning when the initial subtask involved learning a function compatible with that characterizing the rest of the task, and inhibited learning when the initial subtask involved a function incompatible with the rest of the task. These results were then discussed with regard to their implications for understanding the effect of knowledge on concept learning. ftp: ego.psych.mcgill.ca/pub/shultz/regimens.ps.gz ----------------------------------------------------------------------------= ---- A variety of other papers in the areas of cognitive development, knowledge and learning, analyzing knowledge representations in neural networks, and cognitive consistency can be found at the LNSC site. Tom ------------------------------------------------------------------------ Thomas R. Shultz, Professor, Department of Psychology, McGill University 1205 Penfield Ave., Montreal, Quebec, Canada H3A 1B1 Phone: 514-398-6139 Fax: 514-398-4896 Email: shultz@psych.mcgill.ca WWW: http://www.psych.mcgill.ca/labs/lnsc/html/Lab-Home.html ------------------------------------------------------------------------ From electro@batc.allied.com Sat Jun 22 00:18:49 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id AAA22947 for ; Sat, 22 Jun 1996 00:18:41 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id AAA22861 for ; Sat, 22 Jun 1996 00:18:40 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa11676; 21 Jun 96 16:10:05 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa11672; 21 Jun 96 15:50:19 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01637; 21 Jun 96 15:50:07 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa03180; 21 Jun 96 14:46:59 EDT Received: from tmpil001.tmp.alliedsignal.com by EDRC.CMU.EDU id aa09189; 21 Jun 96 14:46:42 EDT Received: by tmpil001.tmp.allied.com id AA15683 (InterLock SMTP Gateway 3.0 for connectionists@cs.cmu.edu); Fri, 21 Jun 1996 11:44:04 -0600 Received: by tmpil001.tmp.allied.com (Internal Mail Agent-1); Fri, 21 Jun 1996 11:44:04 -0600 X-Mailer: SuperTCP Suite for Windows Version 2.1 (Mailer Version 1.02) Message-Id: <31CAFC07-00000001@proton> From: electro@batc.allied.com Date: Fri, 21 Jun 1996 14:46:14 CST Subject: Self-organizing Systems Research To: connectionists@cs.cmu.edu Mime-Version: 1.0 Content-Type: Text/Plain; Charset=US-ASCII I am looking for recent research papers that describe algorithms and/or methods that enable a totally interconnected network of processing nodes to self-organize (i.e., determine an optimal configuration by eliminating redundant nodes, minimizing node connections, and establishing node priorities ) in order to meet a predefined set of spatial and functional criteria. I am somewhat familiar with Kohonen's "Self-Organizing Maps" and I would be interested in applications of these maps and other algorithms. Thanks in advance for any information that you can provide. Richard A. Burne electro@.batc.allied.com AlliedSignal Inc.