Integrating information theory in agent-based crowd simulation behavior models

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Türkay, 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

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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: Article
Uncontrolled Keywords: crowd simulation; information theory
Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Selim Balcısoy
Date Deposited: 28 Dec 2011 11:50
Last Modified: 30 Jul 2019 14:06
URI: https://research.sabanciuniv.edu/id/eprint/18636

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