Incorporating a PMF-Based Injury Model into a Multi-Agent Representation of Crowd Behavior

Authors:
Frederic (Rick) D. McKenzie;Herbie H. Piland, III;Min Song
Affiliations:
Old Dominion University, USA;Old Dominion University, USA;Old Dominion University, USA
Venue:
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03
Year:
2007

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Simulation

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Abstract

Throughout the years, much research has been conducted on human behavior models that focus on individual intelligent human agents. Fewer multi-agent based models have addressed group or crowd behavior from a psychological and sociological perspective. We have been focused on incorporating crowd behavior models into control force (police and military) simulations and have developed a real-time crowd simulation capable of generating multiple intelligent agent civilians that exhibit a variety of realistic individual and group behaviors at differing levels of fidelity. One important aspect of modeling realistic crowd behaviors is determining the physiological effects of weapons, both non-lethal and lethal alike, on humans. To this end, we present our categories of non-lethal weapons and their physiological effects that need to be represented. Additionally, this paper describes an injury model developed by the University of Pennsylvania and its integration into our Crowd Federate.