Evolutionary game design
Data(s) |
01/03/2010
|
---|---|
Resumo |
Abstract—It is easy to create new combinatorial games but more difficult to predict those that will interest human players. We examine the concept of game quality, its automated measurement through self-play simulations, and its use in the evolutionary search for new high-quality games. A general game system called Ludi is described and experiments conducted to test its ability to synthesize and evaluate new games. Results demonstrate the validity of the approach through the automated creation of novel, interesting, and publishable games. Index Terms—Aesthetics, artificial intelligence (AI), combinatorial game, evolutionary search, game design. |
Formato |
application/pdf |
Identificador | |
Publicador |
IEEE |
Relação |
http://eprints.qut.edu.au/31909/1/c31909.pdf DOI:10.1109/TCIAIG.2010.2041928 Browne, Cameron B. & Maire, Frederic D. (2010) Evolutionary game design. IEEE Transactions on Computational Intelligence and AI in Games, 2(1), pp. 1-16. |
Direitos |
Copyright 2010 IEEE Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
Fonte |
Computer Science; Faculty of Science and Technology |
Palavras-Chave | #080101 Adaptive Agents and Intelligent Robotics #artificial intelligence #combinatorial game #evolutionary search #Aesthetics #game design |
Tipo |
Journal Article |