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私人信息对间接互惠的影响。

Effect of private information on indirect reciprocity.

作者信息

Uchida Satoshi

机构信息

Research Division, RINRI Institute, Chiyoda-ku, Misaki-cho 3-1-10, 101-8385 Tokyo, Japan.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Sep;82(3 Pt 2):036111. doi: 10.1103/PhysRevE.82.036111. Epub 2010 Sep 23.

Abstract

Indirect reciprocity is one of the key mechanisms for the evolution of cooperation. It relies on mutual monitoring and assessments, i.e., individuals collect information about the past behavior of others and judge whether that behavior is "good" or "bad." A player will not be helped if labeled with a bad image. There are many ways for assessing others, each of which can be interpreted as an elementary form of a moral sense (i.e., a view on what is good or bad). The information can be either public or private: private information can lead to mismatches between the opinions of individuals even when they share the same moral sense. In this paper, the effect of private information on the best-known assessment rules is investigated. In order to calculate payoffs, the concept of an image matrix is introduced. It describes who is good in the eyes of whom, and its time evolution is given by a probabilistic Boolean automaton. In contrast to the public information case, private information leads to the collapse of the sterner assessment rule. Alternatively, stable polymorphisms may subsist, with the milder rule and a more simple-minded rule coexisting together with unconditional cooperators; thus, cooperation can be sustained by indirect reciprocity even in the absence of public information.

摘要

间接互惠是合作进化的关键机制之一。它依赖于相互监督和评估,即个体收集他人过去行为的信息,并判断该行为是“好”还是“坏”。如果被贴上不良形象的标签,个体将得不到帮助。评估他人有多种方式,每种方式都可被解释为一种基本的道德感形式(即对好坏的看法)。信息可以是公开的,也可以是私人的:即使个体具有相同的道德感,私人信息也可能导致他们之间的意见不一致。本文研究了私人信息对最著名评估规则的影响。为了计算收益,引入了形象矩阵的概念。它描述了在谁眼中谁是好人,其随时间的演变由概率布尔自动机给出。与公开信息的情况不同,私人信息会导致更严格评估规则的崩溃。或者,稳定的多态性可能存在,较温和的规则和一个更简单的规则与无条件合作者共存;因此,即使在没有公开信息的情况下,合作也可以通过间接互惠得以维持。

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