Integrating information theory in agent-based crowd simulation behavior modelsTürkay, Çağatay and Koç, Emre and Balcısoy, Selim (2011) Integrating information theory in agent-based crowd simulation behavior models. The Computer Journal, 54 (11). pp. 1810-1820. ISSN 0010-4620 This is the latest version of this item. Full text not available from this repository. Official URL: http://dx.doi.org/10.1093/comjnl/bxr014 AbstractCrowds must be simulated believable in terms of their appearance and behavior to improve a virtual environment's realism. Due to the complex nature of human behavior, realistic behavior of agents in crowd simulations is still a challenging problem. In this paper, we propose a novel behavioral model which builds analytical maps to control agents' behavior adaptively with agent-crowd 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. We made comparative analyses of the presented behavior model with measured crowd data and two agent-based crowd simulators.
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