IEEE CEC 2015 Special Session on Computational Intelligence and Games


(This special session is organized in association with the IEEE Computational Intelligence Society Technical Committee on Games.)



Games are an ideal domain to study computational intelligence (CI) methods because they provide affordable, competitive, dynamic, reproducible environments suitable for testing new search algorithms, pattern-based evaluation methods, or learning concepts. They are also interesting to observe, fun to play, and very attractive to students. Additionally, there is great potential for CI methods to improve the design and development of both computer games and non-digital games such as board games. This special session aims at gathering not only leading researchers, but also young researchers as well as practitioners in this field who research applications of computational intelligence methods to computer games.



In general, papers are welcome that consider all kinds of applications of CI methods (evolutionary computation, supervised learning, unsupervised learning, fuzzy systems, game-tree search, etc.) to games (card games, board games, mathematical games, action games, strategy games, role-playing games, arcade games, serious games, etc.). Examples include

Adaptation in games

Automatic game testing

Coevolution in games

Comparative studies (e.g. CI versus human-designed players)

Dynamic difficulty in games.

Games as test-beds for CI algorithms

Imitating human players

Learning to play games

Multi-agent and multi-strategy learning

Player/opponent modelling

Procedural content generation

Results of game-based CI competitions

Results of open competitions


Submission Guidelines

Special session papers should be uploaded online through the paper submission website of IEEE CEC 2015 by January 16, 2015 (extended from December 19, 2014). Please select the corresponding special session name ("Computational Intelligence and Games") as the gmain research topich in submission.For the latest information on important dates, please refer to this page.



Ruck Thawonmas

Professor, Dept. of Human and Computer Intelligence, Ritsumeikan University, Japan


Daniel Ashlock

Professor, Dept. of Mathematics and Statistics, University of Guelph, Canada