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arXiv physics/0610225physics.soc-phnlin.AO
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三个公益实验中惩罚存在时合作水平的定量测定

Quantitative determination of the level of cooperation in the presence of punishment in three public good experiments

D. Darcet, D. Sornette

摘要:

强烈的互惠是人类的一个基本特征,与我们非凡的社会性和合作性有关。关于社会困境游戏的实验室实验和许多实地研究已经量化了定义明确的合作水平和惩罚/奖励倾向。据观察,合作的程度在很大程度上取决于惩罚和/或奖励的可用性。在这里,我们认为,利他主义的惩罚和奖励的倾向是一个新出现的属性,通过提供一个有效的反馈机制,通过生物和文化的相互作用,与合作共同进化。利他主义者倾向于高生存概率和大的个人收益,因此他们的惩罚和奖励可以调和自我和群体的利益。我们表明,一个简单的成本/效益分析在一个单一的代理人,谁预期她的同伴的行动,确定了最佳水平的利他惩罚,这解释了定量实验结果的第三方惩罚游戏,最后通牒游戏和利他惩罚游戏。我们还报告了一个基于进化代理的模型的重复代理交互与反馈的惩罚,这证实了惩罚的倾向是一个强大的新兴属性选择的进化规则的模型的数值模拟。

英文摘要:

Strong reciprocity is a fundamental human characteristic associated with our extraordinary sociality and cooperation. Laboratory experiments on social dilemma games and many field studies have quantified well-defined levels of cooperation and propensity to punish/reward. The level of cooperation is observed to be strongly dependent on the availability of punishments and/or rewards. Here, we suggest that the propensity for altruistic punishment and reward is an emergent property that has co-evolved with cooperation by providing an efficient feedback mechanism through both biological and cultural interactions. By favoring high survival probability and large individual gains, the propensity for altruistic punishment and rewards reconciles self- and group interests. We show that a simple cost/benefit analysis at the level of a single agent, who anticipates the action of her fellows, determines an optimal level of altruistic punishment, which explains quantitatively experimental results on the third-party punishment game, the ultimatum game and altruistic punishment games. We also report numerical simulations of an evolutionary agent-based model of repeated agent interactions with feedback-by-punishments, which confirms that the propensity to punish is a robust emergent property selected by the evolutionary rules of the model.

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