Searching strategy driven by situation awareness in game simulation system

Game simulation system is built to train players´ game ability throughout exercising simulated historic game cases time and time again. From the point of view of human cognition, situation awareness, strategy searching and selecting are two important parts of game procedure, which work in a complementary way in game process. How to represent game situation awareness and search suitable strategy based on current game situation awareness are two crucial issues in game simulation system. This paper proposes a strategy searching and selecting method based on the formalization expression of game and game situation awareness we introduced. The algorithm detail of strategy searching and selecting is introduced in the paper.