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Parsimony versus reductionism: how can crowd psychology be introduced into computer simulation?
journal contribution
posted on 2023-06-09, 04:43 authored by Michael J Seitz, Anne Templeton, John DruryJohn Drury, Gerta Köster, Andy PhilippidesAndy PhilippidesComputer simulations are increasingly being used to predict the behaviour of crowds. However, the models used are mainly based on video observations, not an understanding of human decision making. Theories of crowd psychology can elucidate the factors underpinning collective behaviour in human crowds. Yet, in contrast to psychology, computer science must rely upon mathematical formulations in order to implement algorithms and keep models manageable. Here we address the problems and possible solutions encountered when incorporating social psychological theories of collective behaviour in computer modelling. We identify that one primary issue is retaining parsimony in a model whilst avoiding reductionism by excluding necessary aspects of crowd psychology, such as the behaviour of groups. We propose cognitive heuristics as a potential avenue to create a parsimonious model that incorporates core concepts of collective behaviour derived from empirical research in crowd psychology.
History
Publication status
- Published
File Version
- Accepted version
Journal
Review of General PsychologyISSN
1089-2680Publisher
American Psychological AssociationExternal DOI
Issue
1Volume
21Page range
95-102Department affiliated with
- Psychology Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2017-01-13First Open Access (FOA) Date
2017-01-13First Compliant Deposit (FCD) Date
2017-01-13Usage metrics
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