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Development and Analysis of Shogi program with play style

Development and Analysis of Shogi program with play style
将棋程序与玩法的开发与分析
批准号:
22500123
负责人:
ITO Takeshi
金额:
$2.75万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2010
资助国家:
日本
项目状态:
已结题
起止时间:
2010 至 2012

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项目成果

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中文摘要
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英文摘要
In this research, I proposed the following two approaches as method imitating play styles. I proposed a learning algorithm which overemphasizes the play style of a specific professional shogi player's by using the machine learning of Bonanza. By unbalanced learning of the play records of some top professional shogi players with features, I showed that the play styles of the players could be copied to some extent.I paid my attention to general play style of shogi; "offensive vs. defensive", "heavy vs. light", "linear vs. non-linear" and so on. I tried determination of the feature element which forms the play style by analyzing statistically the game records of a player which is reflecting each play style deeply.
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发表时间: 2013
期刊:
影响因子: --
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影响因子: --
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发表时间: 2011
期刊:
影响因子: --
作者: [高橋 克吉 , 猪爪 歩 , 伊藤 毅志 , 村松 正和 , 松原 仁, 北里勇樹,荒井幸代, Toshinori Watanabe, 神野周一郎,荒井幸代, 澤宣成,伊藤毅志]
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Developing Intuition: Neural Correlates of Cognitive-Skill Learning in Caudate Nucleus
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DOI: --
发表时间: 2012
期刊: The Journal of Neuroscience
影响因子: --
作者: [1.Keiji Tanaka, Xiaohong Wan, Daisuke Takano, Takeshi Asamizuya, Chisato Suzuki, Kenichi Ueno, Kang Cheng and Takeshi Ito]
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