How do circadian rhythms and neural synchrony shape networked cooperation?
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Date
2023-03-15
Publication Type
Journal Article
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yes
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Abstract
This study investigates the effects of temporal changes at the individual and social levels and their impact on cooperation in social networks. A theoretical framework is proposed to explain the probability of cooperation as a function of endogenously driven periodic temporal variation and neural synchrony modeled as a diffusion process. Agents are simulated playing a prisoner's dilemma game, with and without evolution, in a two-player setting and on networks. Most importantly, we find that temporal variation and synchrony influence cooperation patterns in a non-trivial way and can enhance or suppress cooperation, depending on exact parameter values. Furthermore, some of our results point to promising future research on human subjects. Specifically, we find that cooperators can dramatically increase their payoff-as opposed to defectors-if neural synchrony is present. Furthermore, the more heterogeneous the synchrony between two agents, the less they cooperate. In a network setting, neural synchrony inhibits cooperation, and variation in circadian patterns counteracts this effect.
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published
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Journal / series
Volume
11
Pages / Article No.
1125270
Publisher
Frontiers Media
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Edition / version
Methods
Software
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Date collected
Date created
Subject
Cooperation; neural synchrony; temporal variation; neural activity; networks; circadian rhythms
Organisational unit
03784 - Helbing, Dirk / Helbing, Dirk
Notes
Funding
871042 - SoBigData++: An Integrated Infrastructures for Social Mining and Big Data Analytics (EC)
Related publications and datasets
Is referenced by: https://doi.org/10.3929/ethz-b-000626979