An ATMS-Based Tool for Locating Honor Cards in Rubber Bridge
نویسندگان
چکیده
This paper deals with the problem of providing assistance to a Bridge player using Artificial Intelligence techniques. In order to achieve this goal, we propose an approach that consists in making assumptions about the honor cards location, then to gradually eliminating the inconsistent assumptions until locating all honor cards. Based on the bids, assumptions about honor cards distribution are made using abduction reasoning. The consistency of these assumptions is managed by an Assumption-based Truth Maintenance System (ATMS). As the game progresses, playing a card generates facts, thereby invalidating some assumptions that cause contradiction and transforming some others into facts corresponding to the location of honor cards.
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