Construction of Cooperative Partner Agent of Poker Game

Abstract

This paper aims at the construction of a partner agent, which plays a seven-card stud poker game interacting with a human player against an opponent player. 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. Therefore, a human player has a discussion with the partner agent on game strategy cooperating with the agent. The partner agent presents agent's own decision and facial expressions according to the game situation. And if a human player has some different decision, these decision may be stored as case examples, and these case examples are reused as one of solution candidates of a new situation. This paper also performs subject experiments to evaluate the effectiveness of the proposed partner agent and case examples obtained through discussion.