Cooperation declines in repeated public good games because individuals behave as conditional cooperators. This is because individuals imitate the social behaviour of successful individuals when their payoff information is available. However, in human societies, individuals cooperate in many situations involving social dilemmas. We hypothesize that humans are sensitive to both success (payoffs) and how that success was obtained, by cheating (not socially sanctioned) or good behaviour (socially sanctioned and adds to prestige or reputation), when information is available about payoffs and prestige. We propose and model a repeated public good game with heterogeneous conditional cooperators where an agent's donation in a public goods game depends on comparing the number of donations in the population in the previous round and with the agent's arbitrary chosen conditional cooperative criterion. Such individuals imitate the social behaviour of role models based on their payoffs and prestige. The dependence is modelled by two population-level parameters: affinity towards payoff and affinity towards prestige. These affinities influence the degree to which agents value the payoff and prestige of role models. Agents update their conditional strategies by considering both parameters. The simulations in this study show that high levels of cooperation are established in a population consisting of heterogeneous conditional cooperators for a certain range of affinity parameters in repeated public good games. The results show that social value (prestige) is important in establishing cooperation.

译文

合作在重复的公益游戏中下降,因为个人表现为有条件的合作者。这是因为当个人的收益信息可用时,个人会模仿成功个人的社会行为。然而,在人类社会中,个人在许多涉及社会困境的情况下进行合作。我们假设人类对成功 (收益) 和成功是如何获得的敏感,通过欺骗 (不是社会认可的) 或良好的行为 (社会认可的,并增加了声望或声誉),当有关收益和声望的信息可用时。我们提出并建立了具有异质条件合作者的重复公共物品博弈模型,其中公共物品博弈中代理人的捐赠取决于比较上一轮人口中的捐赠数量以及代理人任意选择的条件合作标准。这些人根据他们的回报和声望来模仿榜样的社会行为。依赖关系由两个人口水平的参数建模: 对回报的亲和力和对声望的亲和力。这些亲和力会影响代理人对榜样的回报和声望的重视程度。代理通过考虑两个参数来更新其条件策略。这项研究中的模拟表明,在重复的公益游戏中,对于一定范围的亲和力参数,在由异质条件合作者组成的人群中建立了高水平的合作。结果表明,社会价值 (声望) 在建立合作中很重要。

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