| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2010: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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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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