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- W3113991686 abstract "In this paper, we present methods to strengthen a game AI using advice from other game AIs during game play. People can improve their strength with advice, such as finding better moves or avoiding mistakes. Therefore, to improve the performance of game AIs, we focused on advice. The issues to be considered are the definition of advice and mechanism with advice for move selection. In this paper, we propose that “advice” are moves selected by an adviser and propose a mechanism that makes a player search again when the player’s move is different from advice. We performed tournaments among the proposed systems and other methods against a single engine to compare the strength in shogi. We showed the effectiveness of the proposed method from the experimental results and demonstrated that game AIs can improve their strength with advice. In addition, we found that the advice from a weaker game AI is still useful for game AI." @default.
- W3113991686 created "2021-01-05" @default.
- W3113991686 creator A5073959073 @default.
- W3113991686 date "2020-01-01" @default.
- W3113991686 modified "2023-10-06" @default.
- W3113991686 title "Advice is Useful for Game AI: Experiments with Alpha-Beta Search Players in Shogi" @default.
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- W3113991686 doi "https://doi.org/10.1007/978-3-030-65883-0_1" @default.
- W3113991686 hasPublicationYear "2020" @default.
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