Tutorial on agent-based modeling and simulation part 2: how to model with agents
Proceedings of the 38th conference on Winter simulation
Incorporating a PMF-Based Injury Model into a Multi-Agent Representation of Crowd Behavior
SNPD '07 Proceedings of the Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Volume 03
Agent-based human behavior modeling for crowd simulation
Computer Animation and Virtual Worlds - CASA'2008 Special Issue
Multi agent design and implementation of crowd injury model
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
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A crowd is a group of people attending a public event such as protesting the government. In case a violence event, military or police forces try to manage of the crowd to save the public peace. Often, police or military forces use non-lethal weapons (NLWs), such as plastic bullets or clubs, to accomplish their job [1]. In order to simulate this kind of event in the computer we need to solve a problem: The determination of physical effects of NLWs over the crowd individuals based on a model. It is not easy to acquire a mathematical model for these kinds of problems. Here, fuzzy logic design may be an option. In this paper we designed a fuzzy logic model to determine the physical effects of NLWs. Fuzzy logic concepts can be applied on a problem domain by using linguistic variables. The key point is the experience on the problem domain. The inputs and the outputs of the fuzzy system must be determined clearly by the problem domain experts. Here, police or military officers are domain experts. We have defined fuzzy logic injury model rules by working together with military security officers. We have implemented our model using the Repast Symphony agent based simulation toolkit as a proof of concept.