Evolutionary game design


Autoria(s): Browne, Cameron B.; Maire, Frederic D.
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

http://eprints.qut.edu.au/31909/

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

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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