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Using a Social Orientation Model for the Evolution of Cooperative Societies

机译:使用社会取向模型促进合作社的发展

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We utilize evolutionary game theory to study the evolution of cooperative societies and the behaviors of individual agents (i.e., players) in such societies. We present a novel player model based upon empirical evidence from the social and behavioral sciences stating that: (1) an individualȁ9;s behavior may often be motivated not only by self-interest but also by the consequences for others, and (2) individuals vary in their interpersonal social tendencies, which reflect stable personal orientations that influence their choices. Alongside the formal player model we provide an analysis that considers possible interactions between different types of individuals and identifies five general steady-state behavioral patterns. We present evolutionary simulations that ratify previous findings on evolution of cooperation, and provide new insights on the evolutionary process of cooperative behavior in a society as well as on the emergence of cooperative societies. Our main experimental result demonstrates that in contrast to previous common knowledge, increasing mutual reward or mutual punishment in the Prisonerȁ9;s dilemma game does not result in the same type of cooperative society: while increasing reward does increase the societyȁ9;s cooperativeness level, increasing mutual punishment does not.
机译:我们利用进化博弈论来研究合作社的演变以及此类社会中个体行为者(即参与者)的行为。我们基于社会科学和行为科学的经验证据,提出了一种新颖的玩家模型,该模型表明:(1)个人; 9;其行为常常不仅受自身利益的驱使,而且还受到对他人的后果的驱使,以及(2)个人他们的人际社交倾向各不相同,这反映了稳定的个人倾向会影响他们的选择。除了正式的参与者模型,我们还提供了一种分析,该分析考虑了不同类型的个体之间可能的相互作用,并确定了五种一般的稳态行为模式。我们提出了进化模拟,该模拟认可了关于合作进化的先前发现,并为社会中合作行为的演化过程以及合作社的出现提供了新的见解。我们的主要实验结果表明,与先前的常识相反,囚徒9困境游戏中增加相互奖励或相互惩罚不会导致相同类型的合作社社会:增加奖励确实会增加社会9的合作水平;相互惩罚没有。

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