  Bridge is a trick-taking card game requiring the ability to evaluate
probabilities since it is a game of incomplete information where each player
only sees its cards. In order to choose a strategy, a player needs to gather
information about the hidden cards in the other players' hand. We present a
methodology allowing us to model a part of card playing in Bridge using
Probabilistic Logic Programming.
