Scope
Games have proven to be an ideal test domain for the study of evolutionary algorithms as not only are they fun to play and interesting to observe, but they provide competitive and dynamic environments that model many real-world problems. Evolutionary techniques have successfully been applied to many different kinds of games, however a number of research questions still remain. This special session aims to bring together leading researchers and practitioners from academia and industry to discuss recent advances and explore future directions in this field.

Topics of interest include, but are not limited to, the following: Learning in games Coevolution in games Neuro-evolution in games Opponent modelling in games Theoretical or empirical analysis of evolutionary algorithms and representations for games Comparative studies (e.g. evolved players versus human-designed players or other learning algorithms) Multi-agent and multi-strategy learning Evolutionary game theory Board and card games Economic or mathematical games Imperfect information and non-deterministic games Evasion (predator/prey) games 3D computer and console games "Realistic" games for simulation or training purposes Games for mobile platforms Games involving control of physical objects (e.g. remote control car racing) Games involving physical simulation

Paper submission: 15 March 2007 31 March 2007 Decision notification: 15 May 2007 Camera-ready submission: 15 June 2007

Organisers
Luigi Barone, The University of Western Australia, luigi<@>csse.uwa.edu.au
Phil Hingston, Edith Cowan University, p.hingston<@>ecu.edu.au

Paper Submission
Papers for this special session will be treated as regular conference papers and will appear in the conference proceedings. For paper formatting and submission instructions, please refer to: http://www.cec2007.org/.

Luigi Barone School of Computer Science & Software Engineering The University of Western Australia Last modified: 14 March 2007