Academic Journal
Modeling fashion as an emergent collective behavior of bored individuals.
| Title: | Modeling fashion as an emergent collective behavior of bored individuals. |
|---|---|
| Authors: | Seiler JP; Institute of Physiology, Focus Program Translational Neurosciences, University Medical Center, Johannes Gutenberg University Mainz, Hanns-Dieter-Hüsch-Weg 19, 55131, Mainz, Germany. johseile@uni-mainz.de., Rumpel S; Institute of Physiology, Focus Program Translational Neurosciences, University Medical Center, Johannes Gutenberg University Mainz, Hanns-Dieter-Hüsch-Weg 19, 55131, Mainz, Germany. sirumpel@uni-mainz.de. |
| Source: | Scientific reports [Sci Rep] 2023 Nov 22; Vol. 13 (1), pp. 20480. Date of Electronic Publication: 2023 Nov 22. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: London : Nature Publishing Group, copyright 2011- |
| MeSH Terms: | Mass Behavior* , Boredom*, Humans |
| Abstract: | Boredom is an aversive mental state that is typically evoked by monotony and drives individuals to seek novel information. Despite this effect on individual behavior, the consequences of boredom for collective behavior remain elusive. Here, we introduce an agent-based model of collective fashion behavior in which simplified agents interact randomly and repeatedly choose alternatives from a circular space of color variants. Agents are endowed with a memory of past experiences and a boredom parameter, promoting avoidance of monotony. Simulating collective color trends with this model captures aspects of real trends observed in fashion magazines. We manipulate the two parameters and observe that the boredom parameter is essential for perpetuating fashion dynamics in our model. Furthermore, highly bored agents lead future population trends, when acting coherently or being highly popular. Taken together, our study illustrates that highly bored individuals can guide collective dynamics of a population to continuously explore different variants of behavior. (© 2023. The Author(s).) |
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| Grant Information: | Neurobiology of Forgetting Deutsche Forschungsgemeinschaft; CRC1080-C05 Deutsche Forschungsgemeinschaft; NSF PHY-1748958 The National Science Foundation, United States; 2919.02 Gordon and Betty Moore Foundation |
| Entry Date(s): | Date Created: 20231122 Date Completed: 20231127 Latest Revision: 20231220 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC10665449 |
| DOI: | 10.1038/s41598-023-47749-7 |
| PMID: | 37993553 |
| Database: | MEDLINE |
| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-023-47749-7 |