Evolutionary Game Design

Cameron Browne*, Frederic Maire

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

68 Citations (Web of Science)

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.

Original languageEnglish
Pages (from-to)1-16
Number of pages16
JournalIEEE Transactions on Computational Intelligence and AI in Games
Volume2
Issue number1
DOIs
Publication statusPublished - Mar 2010
Externally publishedYes

Keywords

  • Aesthetics
  • artificial intelligence (AI)
  • combinatorial game
  • evolutionary search
  • game design

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