Authors:	Seiler, Johannes P.-H. Rumpel, Simon
Title:	Modeling fashion as an emergent collective behavior of bored individuals
Online publication date:	18-Dec-2023
Year of first publication:	2023
Language:	english
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.
DDC:	610 Medizin 610 Medical sciences
Institution:	Johannes Gutenberg-Universität Mainz
Department:	FB 04 Medizin
Place:	Mainz
ROR:	https://ror.org/023b0x485
DOI:	http://doi.org/10.25358/openscience-9814
Version:	Published version
Publication type:	Zeitschriftenaufsatz
License:	CC BY
Information on rights of use:	https://creativecommons.org/licenses/by/4.0/
Journal:	Scientific reports 13
Pages or article number:	20480
Publisher:	Macmillan Publishers Limited, part of Springer Nature
Publisher place:	London
Issue date:	2023
ISSN:	2045-2322
Publisher DOI:	10.1038/s41598-023-47749-7
Appears in collections:	DFG-491381577-G