| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Research Abstract |
We characterized the feature of moves from the following three aspects :(a) absolute board position of the move,(b) relative board position from the previous opponent' s move,(c) surrounding configuration of the move, and encoded the game records into text characters. We constructed an n-gram model from the texts and showed that the model can be used not only for move prediction but also for reducing the number of second best moves and discriminating moves for commentary. We analyzed some typical playing styles of human Go players and found some factors with significant difference between different playing styles.
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