Printable Version
Hong Kong, June 1-6, 2008
Motivation
Games have proven to be an ideal test domain for the study of Computational Intelligence methods as they provide cheap, competitive, dynamic, reproducible environments suitable for testing new search algorithms, pattern-based evaluation methods or learning concepts, and at the same time are interesting to observe and fun to play. CI techniques have successfully been applied to many different kinds of games, however a number of research issues and open questions still remain. The session is dedicated to Computational Intelligence methods (neural networks, evolutionary computation, fuzzy systems, machine learning, biologically inspired approaches, ...) in development and playing of computer games. Both theoretical and application-based submissions are invited. The session aims to bring together leading researchers and practitioners in this field.
Scope
Topics of interest include, but are not limited to, the following:
- Learning and adaptation in games
- Knowledge representation in games
- Neuro-evolution in games
- Coevolution in games
- Opponent modelling in games
- Knowledge-free and self-learning algorithms in games
- Challenges for CI in games
- Theoretical or empirical analysis of CI algorithms and representations for games
- Comparative studies (e.g. CI versus human-designed players)
- Multi-agent and multi-strategy learning
- 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
Important Dates
- Submission: December 1, 2007
- Notification: February 1, 2008
- Camera-ready: March 1, 2008
Submission
Please follow the WCCI 2008 paper preparation and submission guidelines.