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 ********************************************************************** 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) ********************************************************************** ---------------------------------------------------------------------- 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 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. ------------------------------ End of Genetic Algorithms Digest ******************************