论文标题

道德判断的社会规范的演变

Evolution of social norms for moral judgment

论文作者

Kessinger, Taylor A., Tarnita, Corina E., Plotkin, Joshua B.

论文摘要

声誉为维持合作提供了有力的机制,因为个人与良好的社会地位合作。但是,当我们观察到社会行为时,应该如何更新道德声誉,何时将人口融合道德评估的共同规范?在这里,我们开发了一个以声誉为条件的合作数学模型,该模型是针对分为组的人群的。每个小组都可以遵守不同的社会规范来评估声誉,因此当个人选择从一个组转移到另一组时,规范会竞争。我们表明,一个最初包括少数人口的团体仍可能超过整个人口,尤其是如果它采用严厉的判断规范,这给与不良地位的人合作的个人分配了不良声誉。当个人不改变群体成员身份时,将声誉信息分为群体往往会破坏合作的稳定,除非个人非常孤立和偏爱小组内社交互动。我们讨论了结果对人口中信息流的结构的含义以及道德判断的社会规范的演变。

Reputations provide a powerful mechanism to sustain cooperation, as individuals cooperate with those of good social standing. But how should moral reputations be updated as we observe social behavior, and when will a population converge on a common norm of moral assessment? Here we develop a mathematical model of cooperation conditioned on reputations, for a population that is stratified into groups. Each group may subscribe to a different social norm for assessing reputations, and so norms compete as individuals choose to move from one group to another. We show that a group initially comprising a minority of the population may nonetheless overtake the entire population--especially if it adopts the Stern Judging norm, which assigns a bad reputation to individuals who cooperate with those of bad standing. When individuals do not change group membership, stratifying reputation information into groups tends to destabilize cooperation, unless individuals are strongly insular and favor in-group social interactions. We discuss the implications of our results for the structure of information flow in a population and the evolution of social norms of moral judgment.

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