StarAI: Reducing incompleteness in the game of Bridge using PLP
This addresses a domain-specific challenge for Bridge players or AI researchers, but appears incremental as it applies an existing method to a new domain.
The authors tackled the problem of incomplete information in Bridge by modeling card playing using Probabilistic Logic Programming, but no concrete results or numbers were provided.
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.