NDLI: Parallel Monte Carlo Search for Imperfect Information Game Daihinmin

Content Provider	IEEE Xplore Digital Library
Author	Nishino, J. Nishino, T.
Copyright Year	2012
Abstract	Computer games, such as chess, have recently become an important research topic in the field of computation intelligence. Monto Carlo massive searching is very successful in the game of GO as it has a huge intractable search space and no good partial evaluation heuristics. Imperfect information games also have intractable properties, such as large scale search space, less heuristics, and unknown state information. Monte Carlo search is therefore effective to make computer players for the imperfect information game. There is always a time limit for using computational intelligence in actual applications. Such constraints require parallel processing to be speed up the Monte Carlo simulations. We introduce a parallel Monte Carlo searching method for imperfect information card game Daihinmin, a familiar card game in Japan. Computer Daihinmin competitions have been held since 2006. We present two kinds of parallelization algorithms for Monte Carlo computer Daihinmin players.
Starting Page	3
Ending Page	6
File Size	217729
Page Count	4
File Format	PDF
ISBN	9781467345668
ISSN	21683034
DOI	10.1109/PAAP.2012.8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-17
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Monte Carlo methods Imperfect information game Multiplayer game Computational modeling Monte Carlo search Games Parallel processing Search problems Educational institutions Tree search
Content Type	Text
Resource Type	Article

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