Information in crowds: the Swarm information model

Authors:
Colin Marc Henein;Tony White
Affiliations:
Carleton University, Ontario, Canada;Carleton University, Ontario, Canada
Venue:
ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
Year:
2006

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Abstract

One interesting view of crowd modelling is the consideration of crowd effects as being generated from the point of view of individual agents By modelling individual decisions of agents (rather than generalizing from a population of identical ones) we can represent the heterogeneity inherent in large crowds The heterogeneous approach allows for different agents to interpret the environment differently (via cognition, memory or other intrinsic factors).