在低背叛可探测性条件下,代价高昂的惩罚维持间接互惠。

IF 1.9 4区 数学 Q2 BIOLOGY
Yohsuke Murase
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引用次数: 0

摘要

合作是人类社会的基础,而间接互惠,即个人合作为未来的利益建立积极的声誉,在促进合作方面发挥着关键作用。以往的理论和实验研究都探讨了代价高昂的惩罚在维持合作中的有效性和局限性。虽然经验观察表明,第三方的代价高昂的惩罚很常见,但一些理论模型表明,在间接互惠的背景下,这种惩罚可能并不有效,这使人们对其加强合作的潜力产生了怀疑。在本研究中,我们从理论上考察了代价惩罚有效的条件。在之前的模型的基础上,我们引入了一种感知行为的新类型的错误,其中背叛可能被错误地视为合作。这个扩展模型模拟了一个现实的场景,即叛逃者有强烈的动机将他们的叛逃伪装成合作。我们的分析表明,当背叛难以察觉时,包含代价高昂的惩罚的规范可能成为最有效的进化稳定策略。这些发现表明,代价高昂的惩罚可以在间接互惠中促进合作发挥关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Costly punishment sustains indirect reciprocity under low defection detectability
Cooperation is fundamental to human societies, and indirect reciprocity, where individuals cooperate to build a positive reputation for future benefits, plays a key role in promoting it. Previous theoretical and experimental studies have explored both the effectiveness and limitations of costly punishment in sustaining cooperation. While empirical observations show that costly punishment by third parties is common, some theoretical models suggest it may not be effective in the context of indirect reciprocity, raising doubts about its potential to enhance cooperation. In this study, we theoretically investigate the conditions under which costly punishment is effective. Building on a previous model, we introduce a new type of error in perceiving actions, where defection may be mistakenly perceived as cooperation. This extension models a realistic scenario where defectors have a strong incentive to disguise their defection as cooperation. Our analysis reveals that when defection is difficult to detect, norms involving costly punishment can emerge as the most efficient evolutionarily stable strategies. These findings demonstrate that costly punishment can play a crucial role in promoting cooperation within indirect reciprocity.
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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