This special session is organized in association with the IEEE Computational Intelligence Society Technical Committee on Games.
AimGames 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.
ScopeIn 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 GuidelinesSpecial 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.
Professor, Dept. of Human and Computer Intelligence, Ritsumeikan University, Japan
Professor, Dept. of Mathematics and Statistics, University of Guelph, Canada
- Dr. Ruck Thawonmas is Professor at the Department of Human and Computer Intelligence, College of Information Science and Engineering, Ritsumeikan University in Japan, where he leads the Intelligent Computer Entertainment Laboratory. His research interests include game AI, metaverse, and player-behavior analysis. His laboratory has won a number of game AI competitions with the most recent one at AIIDE 2014 StarCraft AI Competition. He also organized a fighting game AI competition at CIG 2014 and is now serving as Associate Editor for IEEE Transactions on Computational Intelligence and AI in Games (TCIAIG).
- Dr. Daniel Ashlock is a Professor in the Department of Mathematics and Statistics at the University of Guelph in Canada. Dr. Ashlock's work in games includes a large number of publications in mathematical games as well as a number of papers on automatic content generation. Dr. Ashlock is an Associate Editor of TCIAIG, the leading CI-games journal. He is a longstanding member of the CIS Games Technical Committee, and has severed on the Organizing Committee of the Computational Intelligence in Games conference six times including serving as general chair in 2013.