Recently, the role of artificial intelligence techniques in games is becoming important. Game artificial intelligence technology in the past, the graphics and sound technology were more important. However, Artificial intelligent technology in current games is necessary technology to provide variety pleasure to users, and role of user's partner or helper. Learning ability of artificial intelligence technologies is attention getting technology. In this paper, we apply the learning system to the game agent to implement it, and a nalysis its performance.

ABSTRACT   Ⅰ. Introduction   Ⅱ. Related Work    2.1. Intelligent game agent    2.2. Learning algorithm    2.3. Insight learning theory   Ⅲ. Performance analysis and implementation of game agent using learning system    3.1. Design of learning system    3.2. Apply learning system to game agent    3.3. Performance analysis   Ⅳ. Conclusions   Reference

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