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具有私人评估的间接互惠模型中的道德规则演变。

The evolution of moral rules in a model of indirect reciprocity with private assessment.

机构信息

Teesside University, Southfield Rd, Middlesbrough, TS1 3BX, UK.

出版信息

Sci Rep. 2021 Dec 8;11(1):23581. doi: 10.1038/s41598-021-02677-2.

Abstract

Moral rules allow humans to cooperate by indirect reciprocity. Yet, it is not clear which moral rules best implement indirect reciprocity and are favoured by natural selection. Previous studies either considered only public assessment, where individuals are deemed good or bad by all others, or compared a subset of possible strategies. Here we fill this gap by identifying which rules are evolutionary stable strategies (ESS) among all possible moral rules while considering private assessment. We develop an analytical model describing the frequency of long-term cooperation, determining when a strategy can be invaded by another. We show that there are numerous ESSs in absence of errors, which however cease to exist when errors are present. We identify the underlying properties of cooperative ESSs. Overall, this paper provides a first exhaustive evolutionary invasion analysis of moral rules considering private assessment. Moreover, this model is extendable to incorporate higher-order rules and other processes.

摘要

道德规范允许人类通过间接互惠进行合作。然而,目前尚不清楚哪种道德规范最能实现间接互惠,并且最受自然选择的青睐。以前的研究要么只考虑了公共评估,即所有其他人都认为一个人是好是坏,要么只比较了可能策略的一个子集。在这里,我们通过在考虑私人评估的情况下确定所有可能的道德规范中哪些规则是进化稳定策略(ESS)来填补这一空白。我们开发了一个分析模型,描述了长期合作的频率,确定了一种策略何时会被另一种策略所侵犯。我们表明,在没有错误的情况下存在许多 ESS,但当存在错误时,ESS 则不再存在。我们确定了合作 ESS 的基本特性。总的来说,本文首次对考虑私人评估的道德规范进行了详尽的进化入侵分析。此外,该模型可以扩展到包含更高阶的规则和其他过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/001f/8654852/b5b47b8bd3eb/41598_2021_2677_Fig1_HTML.jpg

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