Agent-Based Analysis of Patterns in Crowd Behaviour Involving Contagion of Mental States

In this paper an agent-based analysis is made of patterns in crowd behaviour, in particular to simulate a real-life incident that took place on May 4, 2010 in Amsterdam. As a basis, an existing agent-based model is used for contagion of emotions, beliefs and intentions. From available video material and witness reports, useful empirical data were extracted. Similar patterns were achieved in simulations, whereby some of the parameters of the model were tuned to the case addressed, and most parameters were assigned default values. The results show the inclusion of contagion of belief, emotion, and intention states of agents results in better reproduction of the incident than non-inclusion.

• Type: Journal
• Year: 2011
• Where: IEAAIE
• Authors: Tibor Bosse, Mark Hoogendoorn, Michel C. A. Klein, Jan Treur, C. Natalie van der Wal
• Keywords: Artificial Intelligence, Contagion, Crowd Behaviour, IEAAIE 2011, Witness Reports