Intelligent Design of Computer Bridge

Computer games are divided into complete information games and incomplete information games. Bridge is a type of incomplete information games. Due to the limited information that each player knows, the existing methods for solving complete information games cannot be directly applied to the bridge. Therefore, improving the ability of computer bridge agents is of great significance to the research in the field of artificial intelligence. This paper proposes a new bridge game system design structure and applies an improved Monte Carlo sampling algorithm to the computer bridge. Aiming at the problem that the state space information in the incomplete information game is huge and the optimal card can not be found in a reasonable time, a filtering mechanism is proposed to filter the sampling. And, a bidding module is designed, which can handle the stages of response and call when bidding. The experiment results show that the performance of the computer bridge system in this paper has certain reference value for incomplete information games.