Decomposition of multi-player games

Dengji Zhao; Stephan Schiffel; Michael Thielscher

doi:10.1007/978-3-642-10439-8_48

Decomposition of multi-player games

Dengji Zhao, Stephan Schiffel, Michael Thielscher

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

8 Citations (Scopus)

Abstract

![CDATA[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.]]

Original language	English
Title of host publication	Proceedings AI 2009: Advances in Artificial Intelligence: 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009
Publisher	Springer
Pages	475-484
Number of pages	10
ISBN (Print)	9783642104381
DOIs	https://doi.org/10.1007/978-3-642-10439-8_48
Publication status	Published - 2009
Event	Australasian Joint Conference on Artificial Intelligence - Duration: 1 Dec 2013 → …

Publication series

Name
ISSN (Print)	0302-9743

Conference

Conference	Australasian Joint Conference on Artificial Intelligence
Period	1/12/13 → …

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10.1007/978-3-642-10439-8_48

Cite this

@inproceedings{cccf456809eb459bbe2bde45659480e9,

title = "Decomposition of multi-player games",

abstract = "![CDATA[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.]]",

author = "Dengji Zhao and Stephan Schiffel and Michael Thielscher",

year = "2009",

doi = "10.1007/978-3-642-10439-8_48",

language = "English",

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pages = "475--484",

booktitle = "Proceedings AI 2009: Advances in Artificial Intelligence: 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009",

note = "Australasian Joint Conference on Artificial Intelligence ; Conference date: 01-12-2013",

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TY - GEN

T1 - Decomposition of multi-player games

AU - Zhao, Dengji

AU - Schiffel, Stephan

AU - Thielscher, Michael

PY - 2009

Y1 - 2009

N2 - ![CDATA[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.]]

AB - ![CDATA[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.]]

UR - http://handle.uws.edu.au:8081/1959.7/550034

U2 - 10.1007/978-3-642-10439-8_48

DO - 10.1007/978-3-642-10439-8_48

M3 - Conference Paper

SN - 9783642104381

SP - 475

EP - 484

BT - Proceedings AI 2009: Advances in Artificial Intelligence: 22nd Australasian Joint Conference, Melbourne, Australia, December 1-4, 2009

PB - Springer

T2 - Australasian Joint Conference on Artificial Intelligence

Y2 - 1 December 2013

ER -

Decomposition of multi-player games

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