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将时尚建模为无聊的个体的一种新兴集体行为。

Modeling fashion as an emergent collective behavior of bored individuals.

机构信息

Institute of Physiology, Focus Program Translational Neurosciences, University Medical Center, Johannes Gutenberg University Mainz, Hanns-Dieter-Hüsch-Weg 19, 55131, Mainz, Germany.

出版信息

Sci Rep. 2023 Nov 22;13(1):20480. doi: 10.1038/s41598-023-47749-7.

DOI:10.1038/s41598-023-47749-7
PMID:37993553
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10665449/
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.

摘要

无聊是一种令人不愉快的心理状态,通常是由单调引起的,促使个体寻求新的信息。尽管这种影响会对个体行为产生作用,但无聊对集体行为的后果仍然难以捉摸。在这里,我们引入了一个基于主体的集体时尚行为模型,其中简化的主体随机地相互作用,并从颜色变体的圆形空间中反复选择替代品。主体具有过去经验的记忆和无聊的参数,以避免单调。使用这个模型模拟集体颜色趋势可以捕捉到时尚杂志中观察到的真实趋势的某些方面。我们操纵这两个参数,并观察到在我们的模型中,无聊的参数对于延续时尚动态是必不可少的。此外,当高度无聊的主体表现出一致性或高度受欢迎时,它们会引领未来的群体趋势。总之,我们的研究表明,高度无聊的个体可以引导群体的集体动态,不断探索不同的行为变体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/21129e396601/41598_2023_47749_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/34a888a92df1/41598_2023_47749_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/55541607df86/41598_2023_47749_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/b3b2ac75f3a5/41598_2023_47749_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/21129e396601/41598_2023_47749_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/34a888a92df1/41598_2023_47749_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/9db8689b74d8/41598_2023_47749_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/0a9352b76320/41598_2023_47749_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/b34da6d2abac/41598_2023_47749_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/55541607df86/41598_2023_47749_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/b3b2ac75f3a5/41598_2023_47749_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/422e/10665449/21129e396601/41598_2023_47749_Fig7_HTML.jpg

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Boredom is the root of all evil-or is it? A psychometric network approach to individual differences in behavioural responses to boredom.
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