2012 Fiscal Year Final Research Report
Development and Analysis of Shogi program with play style
| Project/Area Number |
22500123
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
ITO Takeshi 電気通信大学, 大学院・情報理工学研究科, 助教 (40262373)
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| Project Period (FY) |
2010 – 2012
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| Keywords | プレイスタイル / 棋風 / ゲーム情報学 / 模倣AI / 機械学習 |
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| Research Abstract |
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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