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Titlebook: Computers and Games; 7th International Co H. Jaap Herik,Hiroyuki Iida,Aske Plaat Conference proceedings 2011 The Editor(s) (if applicable)

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发表于 2025-3-21 16:41:56 | 显示全部楼层 |阅读模式
书目名称Computers and Games
副标题7th International Co
编辑H. Jaap Herik,Hiroyuki Iida,Aske Plaat
视频video
概述state of the art results in computers and games research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computers and Games; 7th International Co H. Jaap Herik,Hiroyuki Iida,Aske Plaat Conference proceedings 2011 The Editor(s) (if applicable)
描述This book constitutes the refereed proceedings of the 7th International Conference on Computers and Games, CG 2010, held in Kanazawa, Japan, in September 2010.The 24 papers presented were carefully reviewed and selected for inclusion in this book. They cover a wide range of topics such as monte-carlo tree search, proof-number search, UCT algorithm, scalability, parallelization, opening books, knowledge abstraction, solving games, consultation of players, multi-player games, extraversion, and combinatorial game theory. In addition a wide range of computer games is dealt with, such as Chinese Checkers, Chinese Chess, Connect6, Go, Havannah, Lines of Action, Pckomino, Shogi, Surakarta, and Yahtzee.
出版日期Conference proceedings 2011
关键词chess; games; go; maze design; monte-carlo search; monte-carlo simulation; multi-player games; pickomino; ra
版次1
doihttps://doi.org/10.1007/978-3-642-17928-0
isbn_softcover978-3-642-17927-3
isbn_ebook978-3-642-17928-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE
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Scalability and Parallelization of Monte-Carlo Tree Search,e implications in terms of parallelization. We focus on our Go program . and our Havannah program.. We use multicore machines and message-passing machines. For both games and on both type of machines we achieve adequate efficiency for the parallel version. However, in spite of promising results in s
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Computational Experiments with the RAVE Heuristic,at often improves the performance of UCT-based algorithms. However, there are situations where RAVE misleads the search whereas pure UCT search can find the correct solution. Two games, the simple abstract game Sum of Switches (.) and the game of Go, are used to study the behavior of the RAVE heuris
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Monte-Carlo Simulation Balancing in Practice, been tested in a very artificial setting: it was limited to 5×5 and 6×6 Go, and required a stronger external program that served as a supervisor. In this paper, the effectiveness of simulation balancing is demonstrated in a more realistic setting. A state-of-the-art program, ., learned an improved
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Node-Expansion Operators for the UCT Algorithm,, but so far node expansion has not been investigated. In this paper we show that delaying expansion according to the number of the siblings delivers a gain of more than 92% when compared to normal expansion. We propose three improvements; one that uses domain knowledge and two that are domain-indep
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A Human-Computer Team Experiment for 9x9 Go, we have to ask ourselves how can computers make effective use of the ever-increasing computer power. In 2002, we started a human-computer team experiment with very long thinking times and no restrictions on the procedure, to see how strong such a team could be. We will introduce our experimental me
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