TY - GEN
T1 - A model of expert decision making in post-flop betting in poker
AU - Bina, Bardia
AU - Chen, Huei Yen Winnie
AU - Milgram, Paul
PY - 2008
Y1 - 2008
N2 - Most past research in modelling poker arises from the field of artificial intelligence, based on the many rules and probabilities involved in the game. The present study examines poker from a new perspective: applying knowledge elicitation techniques to model some of the decision making processes of expert poker players in post-flop betting. Based on data obtained through observations and interviews, using expert players as study participants, a decision making model is proposed, together with an abstraction hierarchy model. It was found that poker players create a set of mental models of their opponents, the active game situation, and of themselves as perceived by their opponents, in order to achieve the purposes of always making better decisions than their opponent and, whenever possible, maximizing the consequences of the opponent's mistakes. A set of strategies that are independent of specific situations and individual players were also discovered in this study.
AB - Most past research in modelling poker arises from the field of artificial intelligence, based on the many rules and probabilities involved in the game. The present study examines poker from a new perspective: applying knowledge elicitation techniques to model some of the decision making processes of expert poker players in post-flop betting. Based on data obtained through observations and interviews, using expert players as study participants, a decision making model is proposed, together with an abstraction hierarchy model. It was found that poker players create a set of mental models of their opponents, the active game situation, and of themselves as perceived by their opponents, in order to achieve the purposes of always making better decisions than their opponent and, whenever possible, maximizing the consequences of the opponent's mistakes. A set of strategies that are independent of specific situations and individual players were also discovered in this study.
UR - https://www.scopus.com/pages/publications/70350613150
M3 - Conference contribution
AN - SCOPUS:70350613150
SN - 9781605606859
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 433
EP - 437
BT - 52nd Human Factors and Ergonomics Society Annual Meeting, HFES 2008
T2 - 52nd Human Factors and Ergonomics Society Annual Meeting, HFES 2008
Y2 - 22 September 2008 through 26 September 2008
ER -