An Information Theory Based Behavioral Model for Agent-Based Crowd Simulations
In this paper, we propose a novel behavioral model which builds analytical maps to control agents’ behavior adaptively with agentcrowd interaction formulations. We introduce information theoretical concepts to construct analytical maps automatically. Our model can be integrated into crowd simulators and enhance their behavioral complexity
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