Call For Papers
IEEE Symposium on Computational Intelligence and Games
April 4-6 2005
Essex University, Colchester, Essex, UK
Plenary Speaker : Jordan Pollack (see below for more details)
Games provide competitive dynamic environments and are therefore an ideal domain for the study and application of computational intelligence. This symposium aims to bring together leading researchers and practitioners in this area.
Topics include, but are not limited to the following:
- Theoretical or empirical analysis of evolutionary algorithms and representations
- Board games (e.g. Checkers, Go, Chess)
- Imperfect information games (e.g. Bridge, Poker, Cribbage)
- Games involving control of physical objects (e.g. Remote Control Car racing)
- Games with simulated physics
- Prey / Predator games (e.g. Pacman)
- Results of open competitions
- Software frameworks
- Game protocols (e.g. protocols for game-playing over the web)
- "Real World" games (e.g share trading, portfolio management)
- CI games for mobile platforms (e.g. phones, PDAs)
- CI games for digital platforms (e.g. digital TV's)
- CI for console games (e.g. Quake)
- Neural approaches to game playing
- Comparative studies: e.g. neural / fuzzy / evolutionary / symbolic approaches
to designing game players.
- Applications of Game Theory
The symposium will consist of a single track of oral presentations, and will also include live competition sessions for both simulated and real-world games. If there is sufficient demand, there will also be a poster session. The proceedings will be published by the IEEE.
Plenary Speaker
=============
Professor Jordan B. Pollack
Dynamic & Evolution Machine Org
Computer Science Department
Brandeis University
Title: Is Progress Possible?
Abstract: For the past decade my students and I have worked on coevolutionary learning, both in theory and in applications such as learning game strategies in Tic Tac Toe or Backgammon, solving problems like sorting networks and CA rules, and designing robot bodies and Brains.
Coevolution tries to formalize a computational "arms race" which would lead to the emergence of sophisticated design WITHOUT an intelligent designer, or his fingerprints left in the choice of data representations and fitness function. Coevolution often takes the shape of a game tournament where the players who do well replicate (with mutation) faster than the losers. The fitness function, rather than being absolute, is thus relative to the current population. We have had successes, but we find that often, the competitive dynamics lead to winner-take-all equilibria, boom and bust cycles of memory loss, and mediocre stable states where an oligarchy arises which survives by excluding innovation rather than embracing it. Many researchers have proposed algorithmic methods for overcoming these limitations, involving diversity maintenance, memory for elite players, and so forth, but something is wrong if we have yet to have a convincing mathematical or computational demonstration that competition without central government can lead to sustained innovation.
Is there a missing principle, a different mechanism design in which self-interested players can optimize their own utility, yet together the population keeps improving at the game? If so, and if we discover this in the realm of computational games, would it transfer it to human social organization?
Special Sessions
==============
If you would like to organise a special session, please let either of the conference chairs have a brief description of your proposed session.
General Chairs
============
Simon Lucas and Graham Kendall
Important Dates
=============
- Submission of Full Paper: October 15 2004
- Notification of Acceptance: December 17 2004
- Camera ready copy: January 14 2005
- Author Registration: January 14 2005
Web Site
========
http://www.cigames.org
Program Committee (not yet complete)
===============
Simon Lucas, University of Essex, UK (co-chair)
Graham Kendall, University of Nottingham, UK (co-chair)
Russ Abbott, California State University, USA
Dan Ashlock, University of Guelph, Canada
Ian Badcoe, ProFactum Software, UK
Luigi Barone, The University of Western Australia, Australia
Alan Blair, University of New South Wales, Australia
Bruno Bouzy, Universite Rene Descartes, France
Michael Buro, University of Alberta, Canada
Murray Campbell, IBM T.J. Watson Research Center, USA
Darryl Charles, University of Ulster, UK
Ke Chen, UMIST, UK
Sung-Bae Cho, Yonsei University, Korea
Paul Darwen, Protagonist Pty Ltd, Australia
Abdennour El Rhalibi, Liverpool John Moores University, UK
Andries Engelbrecht, University of Pretoria, South Africa
Thomas English, The Tom English Project, USA
Heinz Ernst, Frankfurt/Main, Germany
Maria Fasli, University of Essex, UK
David Fogel, Natural Selection, Inc., USA
Tim Hays, Natural Selection, Inc., USA
Jaap van den Herik, Universiteit Maastricht, The Netherlands
Phil Hingston, Edith Cowan University, Australia
Howard A. Landman, Nanon, USA
Huosheng Hu, University of Essex, UK
Evan J. Hughes, Cranfield University, UK
Doran Jim, University of Essex, UK
Sushil J. Louis , University of Nevada, Reno
Stephen McGlinchey, University of Paisley, UK
Risto Miikkulainen, University of Texas at Austin, USA
Martin Muller, University of Alberta, Canada
Jordan Pollack, Brandeis University, USA
Thomas Philip Runarsson, University of Iceland, Iceland
Jonathan Schaeffer, University of Alberta, Canada
Lee Spector, Hampshire College, USA
Nikos Vlassis, Univ. of Amsterdam, The Netherlands
Lyndon While, University of Western Australia, Australia
Xin Yao, University of Birmingham, UK
--
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