Guard heuristic by dynamic fuzzy reasoning model for Chinese chess

The paper provides a novel Chinese chess model which is based on a fuzzy cognitive map (FCM) and rule-based system for reasoning a best legal move. A 10/spl times/9 guard matrix is generated by FCM to show the status of each intersection. Each entry in the matrix is called a guard value which indicates how an intersection is guarded by the player's side or attacked by the opponent's. Based on the proposed model, not only can the legitimacy of the next move be improved but the decision time is much shorter than the same tree searching method of the alpha-beta model. An example is given to verify the effectiveness of the proposed methodology.