Evolutionary game design
Browne, Cameron B. & Maire, Frederic D. (2010) Evolutionary game design. IEEE Transactions on Computational Intelligence and AI in Games, 2(1), pp. 1-16.
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Abstract
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.
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| ID Code: | 31909 |
|---|---|
| Item Type: | Journal Article |
| Additional URLs: | |
| Keywords: | artificial intelligence, combinatorial game, evolutionary search, Aesthetics, game design |
| DOI: | 10.1109/TCIAIG.2010.2041928 |
| ISSN: | 1943-068X |
| Subjects: | Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101) |
| Divisions: | Past > Schools > Computer Science Past > QUT Faculties & Divisions > Faculty of Science and Technology |
| Copyright Owner: | Copyright 2010 IEEE |
| Copyright Statement: | 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. |
| Deposited On: | 22 Apr 2010 08:46 |
| Last Modified: | 01 Mar 2012 00:20 |
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