Evolving an immersive medical communication skills trainer
Presence: Teleoperators and Virtual Environments - Special issue: IEEE VR 2005
System Issues in Multi-agent Simulation of Large Crowds
Multi-Agent-Based Simulation VIII
Mobile agent systems and cellular automata
Autonomous Agents and Multi-Agent Systems
An integrated human decision making model for evacuation scenarios under a BDI framework
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Computers and Industrial Engineering
Beyond cellular automata, towards more realistic traffic simulators
ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
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This paper presents a new simulation method of crowd behavior,method that uses a two- layer model that consists of multiagent(MA) framework and cellular automata (CA). The features of thismethod are as follows. (1) Complicated crowd behavior emerges fromthe autonomous actions of agents. (2) Separating an autonomousaction process from a restriction of physical interferences. Usinga simulation system implementing the two-layer model, crowdbehavior simulations are realized. In particular, collision casesof counter crowds are analyzed in detail, and interesting resultsare found. (1) Homogeneous agent crowd tends to make whirlpools,waves, and blanks, and to be slow at the walking. (2) Heterogeneousagent crowd formed lines, then flows efficiently. Experimentalresults show that combining MA and CA is effective to easy realizethe complicated crowd behavior on various environments.