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当代理人能够自我欺骗时如何保持信任。

Maintaining trust when agents can engage in self-deception.

机构信息

Departamento de Física J.J. Giambiagi, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires 1428, Argentina;

Instituto de Física de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires 1428, Argentina.

出版信息

Proc Natl Acad Sci U S A. 2018 Aug 28;115(35):8728-8733. doi: 10.1073/pnas.1803438115. Epub 2018 Aug 13.

Abstract

The coexistence of cooperation and selfish instincts is a remarkable characteristic of humans. Psychological research has unveiled the cognitive mechanisms behind self-deception. Two important findings are that a higher ambiguity about others' social preferences leads to a higher likelihood of acting selfishly and that agents acting selfishly will increase their belief that others are also selfish. In this work, we posit a mathematical model of these mechanisms and explain their impact on the undermining of a global cooperative society. We simulate the behavior of agents playing a prisoner's dilemma game in a random network of contacts. We endow each agent with these two self-deception mechanisms which bias her toward thinking that the other agent will defect. We study behavior when a fraction of agents with the "always defect" strategy is introduced in the network. Depending on the magnitude of the biases the players could start a cascade of defection or isolate the defectors. We find that there are thresholds above which the system approaches a state of complete distrust.

摘要

合作与自私本能共存是人类的显著特征。心理学研究揭示了自欺欺人的认知机制。两个重要发现是,对他人社会偏好的不确定性越高,越有可能表现出自私,而自私的行为者会增加他们认为他人也是自私的信念。在这项工作中,我们提出了这些机制的数学模型,并解释了它们对全球合作社会破坏的影响。我们在随机接触网络中模拟了玩囚徒困境游戏的行为者的行为。我们赋予每个行为者这两个自欺欺人的机制,使她偏向于认为另一个行为者会背叛。我们研究了当网络中引入一定比例的“总是背叛”策略的行为者时的行为。根据玩家的偏见程度,他们可能会开始一连串的背叛,或者孤立背叛者。我们发现,当系统达到完全不信任的状态时,存在着一些阈值。

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