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—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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43 citations in Scopus
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13 citations in Web of Science®

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ID Code: 31909
Item Type: Journal Article
Refereed: Yes
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: 21 Apr 2010 22:46
Last Modified: 29 Feb 2012 14:20

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