IEEE CEC 2015 - Special Session on Computational Intelligence and Games
http://www.ice.ci.ritsumei.ac.jp/ciag.htm
(This special session is organized in association with the IEEE Computational Intelligence Society Technical Committee on Games.)

Aim
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.

Scope
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 December 19, 2014. Please select the corresponding special session name ("Computational Intelligence and Games") as the “main research topic” in submission. For the latest information on important dates, please refer to this page.

Organizers
Ruck Thawonmas
Professor, Dept. of Human and Computer Intelligence, Ritsumeikan University, Japan
ruck@ci.ritsumei.ac.jp
Daniel Ashlock
Professor, Dept. of Mathematics and Statistics, University of Guelph, Canada
dashlock@uoguelph.ca