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全景敞视公共物品博弈中的纪律与惩罚。

Discipline and punishment in panoptical public goods games.

机构信息

Polytechnic School, National University of Asuncion, San Lorenzo, Paraguay.

Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.

出版信息

Sci Rep. 2024 Apr 4;14(1):7903. doi: 10.1038/s41598-024-57842-0.

Abstract

In Public Goods Games (PGG), the temptation to free-ride on others' contributions poses a significant threat to the sustainability of cooperative societies. Therefore, societies strive to mitigate this through incentive systems, employing rewards and punishments to foster cooperative behavior. Thus, peer punishment, in which cooperators sanction defectors, as well as pool punishment, where a centralized punishment institution executes the punishment, is deeply analyzed in previous works. Although the literature indicates that these methods may enhance cooperation on social dilemmas under particular contexts, there are still open questions, for instance, the structural connection between graduated punishment and the monitoring of public goods games. Our investigation proposes a compulsory PGG framework under Panoptical surveillance. Inspired by Foucault's theories on disciplinary mechanisms and biopower, we present a novel mathematical model that scrutinizes the balance between the severity and scope of punishment to catalyze cooperative behavior. By integrating perspectives from evolutionary game theory and Foucault's theories of power and discipline, this research uncovers the theoretical foundations of mathematical frameworks involved in punishment and discipline structures. We show that well-calibrated punishment and discipline schemes, leveraging the panoptical effect for universal oversight, can effectively mitigate the free-rider dilemma, fostering enhanced cooperation. This interdisciplinary approach not only elucidates the dynamics of cooperation in societal constructs but also underscores the importance of integrating diverse methodologies to address the complexities of fostering cooperative evolution.

摘要

在公共物品博弈(PGG)中,搭便车他人贡献的诱惑对合作社会的可持续性构成了重大威胁。因此,社会通过激励制度来努力减轻这种威胁,采用奖励和惩罚来培养合作行为。因此,之前的工作深入分析了同伴惩罚(即合作者惩罚背叛者)和集中惩罚制度(即中央惩罚机构执行惩罚)。尽管文献表明,这些方法在特定情况下可能会增强社会困境中的合作,但仍存在一些悬而未决的问题,例如,渐进式惩罚与公共物品博弈监测之间的结构联系。我们的研究在全景监控下提出了一个强制性的 PGG 框架。受福柯关于纪律机制和生命权力理论的启发,我们提出了一个新的数学模型,仔细研究了惩罚的严厉程度和范围之间的平衡,以促进合作行为。通过整合进化博弈论和福柯的权力和纪律理论的观点,这项研究揭示了惩罚和纪律结构中数学框架的理论基础。我们表明,经过良好校准的惩罚和纪律方案,利用全景效应进行普遍监督,可以有效地减轻搭便车困境,促进合作。这种跨学科方法不仅阐明了社会结构中合作的动态,还强调了整合多种方法来解决促进合作进化的复杂性的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51c6/10991498/05c64817c5f1/41598_2024_57842_Fig1_HTML.jpg

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