Proceedings of the Fuzzy System Symposium
25th Fuzzy System Symposium
Session ID : G-R02
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Friendly Partner Agent of Poker Game
*Keisuke Osone, Takehisa Onisawa
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Abstract
This paper aims at the construction of a friendly system, which plays a seven-card stud poker game with a human player against an opponent player. This paper calls a cooperative friendly system a partner agent. Seven-card stud poker is a kind of a game with imperfect information and it is difficult to consider optimal strategy in such a game. Then, the partner agent has a discussion with a human player on game strategy cooperating with the player. If a human player needs some advice on a game, the partner agent presents its reply. Furthermore, the partner agent presents not only linguistic expressions of strategy but also facial expressions according to the game situation so that the agent has friendliness. Neural network models are used for facial expressions.
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© 2009 Japan Society for Fuzzy Theory and Intelligent Informatics
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