Agent-based simulation of collective cooperation: from experiment to model

Kleinmeier, Benedikt, Köster, Gerta and Drury, John (2020) Agent-based simulation of collective cooperation: from experiment to model. Journal of the Royal Society, Interface, 17 (171). pp. 1-12. ISSN 1742-5689

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Abstract

Simulation models of pedestrian dynamics have become an invaluable tool for evacuation planning. Typically, crowds are assumed to stream unidirectionally towards a safe area. Simulated agents avoid collisions through mechanisms that belong to each individual, such as being repelled from each other by imaginary forces. But classic locomotion models fail when collective cooperation is called for, notably when an agent, say a first-aid attendant, needs to forge a path through a densely packed group. We present a controlled experiment to observe what happens when humans pass through a dense static crowd. We formulate and test hypotheses on salient phenomena. We discuss our observations in a psychological framework. We derive a model that incorporates: agents’ perception and cognitive processing of a situation that needs cooperation; selection from a portfolio of behaviours, such as being cooperative; and a suitable action, such as swapping places. Agents’ ability to successfully get through a dense crowd emerges as an effect of the psychological model.

Item Type: Article
Schools and Departments: School of Psychology > Psychology
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 02 Oct 2020 07:46
Last Modified: 08 Oct 2020 13:00
URI: http://sro.sussex.ac.uk/id/eprint/94096

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