
Genetic Algorithms Digest   Monday, February 4 1992   Volume 6 : Issue 3

 - Send submissions to GA-List@AIC.NRL.NAVY.MIL
 - Send administrative requests to GA-List-Request@AIC.NRL.NAVY.MIL

Today's Topics:
	- CFP: AI Journal special issue
	- CFP: Machine Discovery Workshop, Aberdeen, July 4, 1992
	- MA in Philosophy of Cognitive Science at Sussex University

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CALENDAR OF GA-RELATED ACTIVITIES: (with GA-List issue reference)

 Canadian AI Conference, Vancouver, (CFP 1/7)                 May 11-15, 1992
 COGANN, Combinations of GAs and NNs, @ IJCNN-92 (v5n31)      Jun 6,     1992
 ARTIFICIAL LIFE III, Santa Fe, NM                            Jun 15-19, 1992
 10th National Conference on AI, San Jose, (CFP 1/15)         Jul 12-17, 1992
 FOGA-92, Foundations of Genetic Algorithms, Colorado (v5n32) Jul 26-29, 1992
 COG SCI 92, Cognitive Science Conference, Indiana, (v5n39)   Jul 29-1,  1992
 ECAI 92, 10th European Conference on AI (v5n13)              Aug  3-7,  1992
 Parallel Problem Solving from Nature, Brussels, (v5n29)      Sep 28-30, 1992

 (Send announcements of other activities to GA-List@aic.nrl.navy.mil)

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From: pagre@weber.ucsd.edu (Phil Agre)
Date: Wed, 22 Jan 92 15:24:22 pst
Subject: CFP: AI Journal special issue

   Artificial Intelligence: An International Journal

   Special Issue on Computational Theories of Interaction and Agency

   Edited by Philip E. Agre (UC San Diego) and 
	     Stanley J. Rosenschein (Teleos Research)

   Call for Papers

   Recent computational research has greatly deepened our understanding of
   agents' interactions with their environments.  The first round of research
   in this area developed `situated' and `reactive' architectures that
   interact with their environments in a flexible way.  These `environments',
   however, were characterized in very general terms, and often purely
   negatively, as `uncertain', `unpredictable', and the like.  In the newer
   round of research, psychologists and engineers are using sophisticated
   characterizations of agent-environment interactions to motivate
   explanatory theories and design rationales.  This research opens up a wide
   variety of new issues for computational research.  But more fundamentally,
   it also suggests a revised conception of computation itself as something
   that happens in an agent's involvements in its world, and not just in the
   abstractions of its thought.

   The purpose of this special issue of Artificial Intelligence is to draw
   together the remarkable variety of computational research that has recently
   been developing along these lines.  These include:

    * Task-level robot sensing and action strategies, as well as projects
      that integrate classical robot dynamics with symbolic reasoning.

    * Automata-theoretic formalizations of agent-environment interactions.

    * Studies of "active vision" and related projects that approach perception
      within the broader context of situated activity.

    * Theories of the social conventions and dynamics that support activity.

    * Foundational analyses of situated computation.

    * Models of learning that detect regularities in the interactions between 
      an agent and its environment. 

   This list is only representative and could easily be extended to include
   further topics in robotics, agent architectures, artificial life, reactive
   planning, distributed AI, human-computer interaction, cognitive science,
   and other areas.  What unifies these seemingly disparate research projects
   is their emerging awareness that the explanation and design of agents
   depends on principled characterizations of the interactions between those
   agents and their environments.  We hope that this special issue of the AI
   Journal will clarify trends in this new research and take a first step
   towards a synthesis.  The articles in the special issue will probably also
   be reprinted in a book to be published by MIT Press.

   The deadline for submitted articles is 1 September 1992.  Send articles to:

     Philip E. Agre
     Department of Communication D-003
     University of California, San Diego
     La Jolla, California  92093-0503

   Queries about the special issue may be sent to the above address or to
   pagre@weber.ucsd.edu.  Prospective contributors are encouraged to contact
   the editors well before the deadline.

------------------------------

From: ZYTKOW@wsuiar.wsu.ukans.edu
Date: Sat, 18 Jan 92 17:18 CST
Subject: CFP: Machine Discovery Workshop, Aberdeen, July 4, 1992

                          CALL FOR PAPERS
                    Workshop on Machine Discovery
                       To be held after ML-92
            Saturday, July 4, 1992   Aberdeen, Scotland

   The number of researchers working on machine discovery (scientific
   discovery, knowledge discovery in databases, automation of data analysis,
   and other areas) is greater than one hundred and growing fast.  A
   substantial number of new projects are being developed and plenty of
   interesting results can be shared. Discovery researchers constitute an
   important group within machine learning, driven by specific interests,
   applications, and evaluation mechanisms.  Machine Discovery Workshop will
   be the place for them to gather and discuss the specialized topics of the
   discovery research.

   Several overlapping communities will have a chance to meet, including,
   among others, those who work on scientific discovery, those who focus on
   knowledge discovery in data bases, and those dealing with data analysis
   and discovery of data dependencies.

   The program of the workshop will consist of paper presentations, panel
   discussion, and demonstration of machine discovery systems. All papers
   accepted for the workshop will be available in the workshop proceedings.
   Some of those will be presented during the poster session at the
   workshop.


   TOPICS OF INTEREST INCLUDE, BUT ARE NOT LIMITED TO:

   - Scientific discovery: empirical discovery, data driven reasoning,
     theory revision, discovery of quantitative laws, discovery of hidden
     structure and theoretical terms, experiment design and planning,
     theory driven reasoning, domain applications and cognitive models;

   - Discovery in databases: discovery of regularities and concepts,
     discovery of data dependencies, discovery of causal relations, use
     of domain knowledge;

   - Automated data analysis: dataclassification, combining search with
     statistics, search for empirical equations;

   - Other: integrated and multiparadigm systems, exploration of
     environment, evaluation mechanisms, domain-specific discovery
     methods, mathematical discovery and discovery in abstract spaces,
     discovery of new representations, and discovery of heuristics.

   Each paper should clearly EXPLAIN THE CONTRIBUTION it makes TO MACHINE
   DISCOVERY.

   SUBMISSION REQUIREMENTS:

   Send 4 hard copies of your paper (The entire paper must not exceed 10
   single spaced pages, including abstract of 180-220 words) or a 1-page
   description of your current research in machine discovery (if you do
   not wish to present a paper).

   Submissions in the category of demos: 3 page description of the system
   plus a sample run of the system (up to 3 pages; commented), plus answers
   to the questionnaire, mailed on request.

   Send all submissions to:

      Jan Zytkow,
      Computer Science Department, 
      Wichita State University,
      Wichita, KS 67208


   IMPORTANT DATES:

   Submissions must arrive by March 31.

   Notifications of acceptance will be sent on April 29 (provide your
   e-mail address, if possible).

   Camera-ready copies must arrive by June 1.

   PROGRAM AND ORGANIZING COMMITTEE

   Peter Edwards              University of Aberdeen, UK (local coordinator)
   Ken Haase                  MIT, USA
   Jiawei Han                 Simon Fraser University, Canada
   Peter Karp                 SRI International, USA
   Willi Klosgen              German National Research Center for CS
   Yves Kodratoff             Universite Paris-Sud, France
   Deon Oosthuizen            University of Pretoria, South Africa
   Paul O'Rorke               Univ.of California, Irvine, USA
   Gregory Piatetsky-Shapiro  GTE Laboratories, USA
   Armand Prieditis           Univ.of California, Davis, USA
   Cullen Schaffer            CUNY/Hunter College, USA
   Derek Sleeman              University of Aberdeen, UK (local coordinator)
   Raul Valdes-Perez          Carnegie-Mellon, USA (demonstration coordinator)
   Robert Zembowicz           Wichita State Univ., USA 
   Wojciech Ziarko            Univ. of Regina, Canada
   Jan Zytkow                 Wichita State Univ. USA (workshop chair)

   For additional information contact workshop chair:

      email:  zytkow@wsuiar.wsu.ukans.edu
      phone:  316-689-3178

------------------------------

From: Andy Clark <andycl@syma.sussex.ac.uk>
Date: Fri, 10 Jan 92 16:22:57 GMT
Subject: MA in Philosophy of Cognitive Science at Sussex University

   UNIVERSITY OF SUSSEX, BRIGHTON, ENGLAND
   SCHOOL OF COGNITIVE AND COMPUTING SCIENCES

   M.A. in the PHILOSOPHY OF COGNITIVE SCIENCE

   The is a one year course which aims to foster the study of foundational
   issues in Cognitive Science and Computer Modelling. It is designed for
   students with a background in Philosophy although offers may be made to
   exceptional students whose background is in some other discipline related
   to Cognitive Science.  Students would combine work towards a 20,000 word
   philosophy dissertation with subsidiary courses concerning aspects of A.I.
   and the other Cognitive Sciences.

   General Information.

   The course is based in the School of Cognitive and Computing Sciences. The
   School provides a highly active and interdisciplinary environment
   involving linguists, cognitive psychologists, philosophers and A.I.
   researchers. The kinds of work undertaken in the school range from highly
   practical applications of new ideas in computing to the most abstract
   philosophical issues concerning the foundations of cognitive science. The
   school attracts a large number of research fellows and distinguished
   academic visitors, and interdisciplinary dialogue is encouraged by several
   weekly research seminars.

   Course Structure of the MA in Philosophy of Cognitive Science

   TERM 1

       Compulsory Course: Philosophy of Cognitive Science
			  Topic: The Representational Theory of Mind:
				 From Fodor to Connectionism.

       and one out of :

			  Artificial Intelligence Programming (Part I)
			  Knowledge Representation
			  Natural Language Syntax
			  Psychology I
			  Computer Science I
			  Modern Analytic Philosophy (1)
			  Modern European Philosophy (1)
			  Artificial Intelligence and Creativity


   TERM 2

       Compulsory Course: Philosophy of Cognitive Science (II)
			  Topic: Code,Concept and Process:
				 Philosophy, Neuropsychology and A.I.
       and one out of:
			   Artificial Intelligence Programming (Part II)
			   Natural Language Processing
			   Computer Vision
			   Neural Networks
			   Intelligent Tutoring Systems
			   Psychology II
			   Computer Science II
			   Social Implications of AI
			   Modern Analytic Philosophy (2)
			   Modern European Philosophy (2)
   TERM 3
			   Supervised work for the Philosophy
			   of Cognitive Science dissertation
			   (20,000 words)

   Courses are taught by one hour lectures , two hour seminars and one hour
   tutorials.  Choice of options is determined by student preference and
   content of first degree. Not all options will always be available and new
   options may be added according to faculty interests.

   CURRENT TEACHING FACULTY for the MA

   Dr A. Clark                 Philosophy of Cognitive Science I and II
   Mr R.Dammann                Recent European Philosophy
   Dr M.Morris                 Recent Analytic Philosophy
   Dr S Wood and Mr R Lutz     AI Programming I
   Dr B Katz                   Knowledge Representation
			       Neural Networks
   Dr N Yuill                  Psychology I
   Dr M. Scaife                Psychology II
   Prof M Boden                Artificial Intelligence and Creativity
			       Social Implications of AI
   Dr L Trask                  Natural Language Syntax \& Semantics
   Dr S Easterbrook            Computer Science I \& II
   Dr D Weir                   Logics for Artificial Intelligence
   Dr D Young                  Computer Vision
   Dr B Keller                 Natural Language Processing
   Dr Y Rogers &
   Prof B du Boulay            Intelligent Tutoring Systems

   ENTRANCE REQUIREMENTS
   These will be flexible. A first degree in Philosophy or one of the Cognitive
   Sciences would be the usual minimum requirement.

   FUNDING
   U.K.students may apply for British Academy funding for this course in
   the usual manner. Overseas students would need to be funded by home
   bodies. 

   CONTACT
   For an application form, or further information, please write to Dr
   Allen Stoughton at the School of Cognitive and Computing Sciences,
   University of Sussex, Falmer, Brighton BN1 9QH, or phone him on (0273)
   606755 ext. 2882, or email - allen@cogs.sussex.ac.uk.

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End of Genetic Algorithms Digest
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