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Toward A Generic Framework for Modeling Human-like Behaviors in Crowd Simulation

This paper presents our work on modeling agents with human-like decision making and behavior execution capabilities in crowd simulation. We aim to provide a generic framework that reflects the major cognitive and physical processes as observed from human behaviors in real-life situations. To this end, the paper first introduces our study of some basic observations and related cognitive theories on how humans behave in various real-life situations. Based on these studies, the cognitive architecture of our framework is presented, which emphasizes the role of experiences in human’s decision making. The paper then describes the design of agent’s experiences and navigation algorithms, which are important components of the proposed framework. Finally, a case study is presented, which illustrates how individual and group behaviors in a crowd simulation scenario can be modeled according to our framework.