rsif.2020.0396.pdf (1.73 MB)
Agent-based simulation of collective cooperation: from experiment to model
Version 2 2023-06-12, 09:31
Version 1 2023-06-09, 21:44
journal contribution
posted on 2023-06-12, 09:31 authored by Benedikt Kleinmeier, Gerta Köster, John DruryJohn DrurySimulation 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.
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Publication status
- Published
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- Published version
Journal
Journal of the Royal Society, InterfaceISSN
1742-5689Publisher
The Royal SocietyExternal DOI
Issue
171Volume
17Page range
1-12Department affiliated with
- Psychology Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2020-10-02First Open Access (FOA) Date
2020-10-02First Compliant Deposit (FCD) Date
2020-10-01Usage metrics
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