Bidding decision model for the card game Tarok

Authors:
Domen Marinčič;Matjaž Gams;Mitja Luštrek
Affiliations:
Department of Intelligent Systems, Jozef Stefan Institute, Ljubljana, Slovenia;Department of Intelligent Systems, Jozef Stefan Institute, Ljubljana, Slovenia;Department of Intelligent Systems, Jozef Stefan Institute, Ljubljana, Slovenia
Venue:
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Year:
2006

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Abstract

In the paper we present a decision model for bidding in the card game four-player tarok. The decision model was built on the basis of Bayesian networks. We developed a program called Tarok7 for playing four-player tarok, which served as a testbed for evaluating the decision model. With the help of Tarok7 program, the model was compared to human experts. The results of the comparison show high matching of the program's bidding with the bidding of human experts.