An information theory based behavioral model for agent-based crowd simulations

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Turkay, Çağatay and Koç, Emre and Balcısoy, Selim (2010) An information theory based behavioral model for agent-based crowd simulations. In: 25th International Symposium on Computer and Information Sciences (ISCIS 2010), London, UK

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Abstract

Crowds 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.
Item Type: Papers in Conference Proceedings
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Selim Balcısoy
Date Deposited: 06 Dec 2010 23:02
Last Modified: 26 Apr 2022 08:59
URI: https://research.sabanciuniv.edu/id/eprint/15729

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