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Colloquium PaperAdaptive Agents Intelligence and Emergent Human Organization: Capturing Complexity through Agent-Based Modeling: Competition among cooperators: Altruism and reciprocity

机译:座谈会论文自适应代理情报和新兴人类组织:通过基于代理的建模来捕捉复杂性:合作者之间的竞争:利他主义和对等

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摘要

Levine argues that neither self-interest nor altruism explains experimental results in bargaining and public goods games. Subjects' preferences appear also to be sensitive to their opponents' perceived altruism. Sethi and Somanathan provide a general account of reciprocal preferences that survive under evolutionary pressure. Although a wide variety of reciprocal strategies pass this evolutionary test, Sethi and Somanthan conjecture that fewer are likely to survive when reciprocal strategies compete with each other. This paper develops evolutionary agent-based models to test their conjecture in cases where reciprocal preferences can differ in a variety of games. We confirm that reciprocity is necessary but not sufficient for optimal cooperation. We explore the theme of competition among reciprocal cooperators and display three interesting emergent organizations: racing to the “moral high ground,” unstable cycles of preference change, and, when we implement reciprocal mechanisms, hierarchies resulting from exploiting fellow cooperators. If reciprocity is a basic mechanism facilitating cooperation, we can expect interaction that evolves around it to be complex, non-optimal, and resistant to change.
机译:莱文认为,自私和利他主义都不能解释讨价还价和公益游戏中的实验结果。受试者的偏好似乎也对对手的感知利他主义敏感。 Sethi和Somanathan提供了在进化压力下生存的相互偏好的一般说明。尽管各种各样的对等策略都通过了这种进化测试,但塞西和索曼森推测,当对等策略相互竞争时,生存的可能性将会降低。本文开发了基于进化代理的模型,以在各种游戏中互惠偏好可能不同的情况下测试其猜想。我们确认,互惠是必要的,但不足以实现最佳合作。我们探讨了互惠合作者之间的竞争主题,并展示了三个有趣的新兴组织:争夺“道德制高点”,偏好变更的不稳定周期,以及当我们实行互惠机制时,会利用同伴合作者而产生的等级制度。如果互惠是促进合作的基本机制,我们可以期望围绕互惠而发展的互动是复杂的,非最佳的并且抵抗变化。

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