Abstract: Based on research work of Tu and Funge, the advanced self-organization behaviors of fish school were further researched. An self-organization approach of advanced behavior for artificial fish school was presented based on cognition. In this approach, each artificial fish was regarded as an agent, the self-organization behaviors of artificial fish school were emerged from the interactions among many agents, such as behavior planning of motion, predation and escaping. The biologic characteristics of natural fish school were shown, and the advanced behaviors of natural fish school were simulated. A cognition-based artificial fish school animation system was tested efficaciously using the approach of the advanced self-organization in this paper.