Decomposition of Multi-player Games

  • Authors:
  • Dengji Zhao;Stephan Schiffel;Michael Thielscher

  • Affiliations:
  • Intelligent Systems Laboratory, University of Western Sydney, Australia;Department of Computer Science, Dresden University of Technology, Germany;Department of Computer Science, Dresden University of Technology, Germany

  • Venue:
  • AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
  • Year:
  • 2009

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Abstract

Research in General Game Playing aims at building systems that learn to play unknown games without human intervention. We contribute to this endeavour by generalising the established technique of decomposition from AI Planning to multi-player games. To this end, we present a method for the automatic decomposition of previously unknown games into independent subgames, and we show how a general game player can exploit a successful decomposition for game tree search.