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Social norm complexity and past reputations in the evolution of cooperation

机译:合作过程中的社会规范复杂性和过去的声誉

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摘要

Indirect reciprocity is the most elaborate and cognitively demanding(1) of all known cooperation mechanisms(2), and is the most specifically human(1,3) because it involves reputation and status. By helping someone, individuals may increase their reputation, which may change the predisposition of others to help them in future. The revision of an individual's reputation depends on the social norms that establish what characterizes a good or bad action and thus provide a basis for morality(3). Norms based on indirect reciprocity are often sufficiently complex that an individual's ability to follow subjective rules becomes important(4-6), even in models that disregard the past reputations of individuals, and reduce reputations to either 'good' or 'bad' and actions to binary decisions(7,8). Here we include past reputations in such a model and identify the key pattern in the associated norms that promotes cooperation. Of the norms that comply with this pattern, the one that leads to maximal cooperation (greater than 90 per cent) with minimum complexity does not discriminate on the basis of past reputation; the relative performance of this norm is particularly evident when we consider a 'complexity cost' in the decision process. This combination of high cooperation and low complexity suggests that simple moral principles can elicit cooperation even in complex environments.
机译:间接互惠是所有已知合作机制(2)中最详尽和认知要求最高的(1),并且最特别是人类(1,3),因为它涉及声誉和地位。通过帮助某人,个人可以提高他们的声誉,这可能会改变别人的倾向,以在将来帮助他们。个人声誉的修订取决于建立规范好坏行为特征的社会规范,从而为道德奠定基础(3)。基于间接互惠的准则通常非常复杂,以至于个人遵循主观规则的能力变得很重要(4-6),即使在忽略个人过去声誉,并将声誉降低为“好”或“坏”行为的模型中也是如此。二元决策(7,8)。在这里,我们将过去的声誉包含在这种模型中,并确定相关规范中促进合作的关键模式。在符合这种模式的规范中,以最小的复杂性导致最大程度的合作(大于90%)的规范不会根据过去的声誉加以区分;当我们在决策过程中考虑“复杂性成本”时,该规范的相对表现就尤为明显。高合作与低复杂性的结合表明,即使在复杂的环境中,简单的道德原则也可以引发合作。

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  • 来源
    《Nature》 |2018年第7695期|242-245|共4页
  • 作者单位

    Univ Lisbon, IST Taguspk, INESC ID, P-2744016 Porto Salvo, Portugal;

    Univ Lisbon, IST Taguspk, INESC ID, P-2744016 Porto Salvo, Portugal;

    ATP Grp, P-2744016 Porto Salvo, Portugal;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 02:51:29

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