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).
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Henein, C.M., White, T. (2006). Information in Crowds: The Swarm Information Model. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds) Cellular Automata. ACRI 2006. Lecture Notes in Computer Science, vol 4173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861201_83
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DOI: https://doi.org/10.1007/11861201_83
Publisher Name: Springer, Berlin, Heidelberg
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