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Data-driven evolutionary game models for the spread of fairness and cooperation in heterogeneous networks

Unique large-scale cooperation and fairness norms are essential to human society, but the emergence of prosocial behaviors is elusive. The fact that heterogeneous social networks prevail raised a hypothesis that heterogeneous networks facilitate fairness and cooperation. However, the hypothesis has...

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Autores principales: Li, Jing-Yi, Wu, Wen-Hao, Li, Ze-Zheng, Wang, Wen-Xu, Zhang, Boyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204145/
https://www.ncbi.nlm.nih.gov/pubmed/37229392
http://dx.doi.org/10.3389/fpsyt.2023.1131769
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author Li, Jing-Yi
Wu, Wen-Hao
Li, Ze-Zheng
Wang, Wen-Xu
Zhang, Boyu
author_facet Li, Jing-Yi
Wu, Wen-Hao
Li, Ze-Zheng
Wang, Wen-Xu
Zhang, Boyu
author_sort Li, Jing-Yi
collection PubMed
description Unique large-scale cooperation and fairness norms are essential to human society, but the emergence of prosocial behaviors is elusive. The fact that heterogeneous social networks prevail raised a hypothesis that heterogeneous networks facilitate fairness and cooperation. However, the hypothesis has not been validated experimentally, and little is known about the evolutionary psychological basis of cooperation and fairness in human networks. Fortunately, research about oxytocin, a neuropeptide, may provide novel ideas for confirming the hypothesis. Recent oxytocin-modulated network game experiments observed that intranasal administration of oxytocin to a few central individuals significantly increases global fairness and cooperation. Here, based on the experimental phenomena and data, we show a joint effect of social preference and network heterogeneity on promoting prosocial behaviors by building evolutionary game models. In the network ultimatum game and the prisoner’s dilemma game with punishment, inequality aversion can lead to the spread of costly punishment for selfish and unfair behaviors. This effect is initiated by oxytocin, then amplified via influential nodes, and finally promotes global cooperation and fairness. In contrast, in the network trust game, oxytocin increases trust and altruism, but these effects are confined locally. These results uncover general oxytocin-initiated mechanisms underpinning fairness and cooperation in human networks.
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spelling pubmed-102041452023-05-24 Data-driven evolutionary game models for the spread of fairness and cooperation in heterogeneous networks Li, Jing-Yi Wu, Wen-Hao Li, Ze-Zheng Wang, Wen-Xu Zhang, Boyu Front Psychiatry Psychiatry Unique large-scale cooperation and fairness norms are essential to human society, but the emergence of prosocial behaviors is elusive. The fact that heterogeneous social networks prevail raised a hypothesis that heterogeneous networks facilitate fairness and cooperation. However, the hypothesis has not been validated experimentally, and little is known about the evolutionary psychological basis of cooperation and fairness in human networks. Fortunately, research about oxytocin, a neuropeptide, may provide novel ideas for confirming the hypothesis. Recent oxytocin-modulated network game experiments observed that intranasal administration of oxytocin to a few central individuals significantly increases global fairness and cooperation. Here, based on the experimental phenomena and data, we show a joint effect of social preference and network heterogeneity on promoting prosocial behaviors by building evolutionary game models. In the network ultimatum game and the prisoner’s dilemma game with punishment, inequality aversion can lead to the spread of costly punishment for selfish and unfair behaviors. This effect is initiated by oxytocin, then amplified via influential nodes, and finally promotes global cooperation and fairness. In contrast, in the network trust game, oxytocin increases trust and altruism, but these effects are confined locally. These results uncover general oxytocin-initiated mechanisms underpinning fairness and cooperation in human networks. Frontiers Media S.A. 2023-04-28 /pmc/articles/PMC10204145/ /pubmed/37229392 http://dx.doi.org/10.3389/fpsyt.2023.1131769 Text en Copyright © 2023 Li, Wu, Li, Wang and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Li, Jing-Yi
Wu, Wen-Hao
Li, Ze-Zheng
Wang, Wen-Xu
Zhang, Boyu
Data-driven evolutionary game models for the spread of fairness and cooperation in heterogeneous networks
title Data-driven evolutionary game models for the spread of fairness and cooperation in heterogeneous networks
title_full Data-driven evolutionary game models for the spread of fairness and cooperation in heterogeneous networks
title_fullStr Data-driven evolutionary game models for the spread of fairness and cooperation in heterogeneous networks
title_full_unstemmed Data-driven evolutionary game models for the spread of fairness and cooperation in heterogeneous networks
title_short Data-driven evolutionary game models for the spread of fairness and cooperation in heterogeneous networks
title_sort data-driven evolutionary game models for the spread of fairness and cooperation in heterogeneous networks
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204145/
https://www.ncbi.nlm.nih.gov/pubmed/37229392
http://dx.doi.org/10.3389/fpsyt.2023.1131769
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