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Bridge is a trick-taking card game requiring the ability to evaluateprobabilities since it is a game of incomplete information where each playeronly sees its cards. In order to choose a strategy, a player needs to gatherinformation about the hidden cards in the other players' hand. We present amethodology allowing us to model a part of card playing in Bridge usingProbabilistic Logic Programming.

StarAI: Reducing incompleteness in the game of Bridge using PLP