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. © Springer-Verlag Berlin Heidelberg 2009.
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CITATION STYLE
Zhao, D., Schiffel, S., & Thielscher, M. (2009). Decomposition of multi-player games. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5866 LNAI, pp. 475–484). https://doi.org/10.1007/978-3-642-10439-8_48
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