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有噪声和隐私评估下的间接互惠中的声誉结构。

Reputation structure in indirect reciprocity under noisy and private assessment.

机构信息

Department of Evolutionary Studies of Biosystems, SOKENDAI, Shonan Village, Hayama, Kanagawa, 240-0193, Japan.

Universal Biology Institute (UBI), The University of Tokyo, 7-3-1 Hongo, Tokyo, Bunkyo-ku, 113-0033, Japan.

出版信息

Sci Rep. 2022 Jun 22;12(1):10500. doi: 10.1038/s41598-022-14171-4.

Abstract

Evaluation relationships are pivotal for maintaining a cooperative society. A formation of the evaluation relationships has been discussed in terms of indirect reciprocity, by modeling dynamics of good or bad reputations among individuals. Recently, a situation that individuals independently evaluate others with errors (i.e., noisy and private reputation) is considered, where the reputation structure (from what proportion of individuals in the population each receives good reputations, defined as goodness here) becomes complex, and thus has been studied mainly with numerical simulations. The present study gives a theoretical analysis of such complex reputation structure. We formulate the time change of goodness of individuals caused by updates of reputations among individuals. By considering a large population, we derive dynamics of the frequency distribution of goodnesses. An equilibrium state of the dynamics is approximated by a summation of Gaussian functions. We demonstrate that the theoretical solution well fits the numerical calculation. From the theoretical solution, we obtain a new interpretation of the complex reputation structure. This study provides a novel mathematical basis for cutting-edge studies on indirect reciprocity.

摘要

评价关系对于维持合作社会至关重要。已经通过在个体之间的良好或不良声誉的动态建模,从间接互惠的角度讨论了评价关系的形成。最近,考虑了个体独立地对他人进行评价存在误差的情况(即,存在噪声和隐私的声誉),其中声誉结构(从人口中接收良好声誉的个体比例来定义,这里定义为良好度)变得复杂,因此主要通过数值模拟进行了研究。本研究对这种复杂的声誉结构进行了理论分析。我们构建了个体的良好度由于个体之间的声誉更新而引起的时间变化。通过考虑大群体,我们推导出良好度频率分布的动力学。动力学的平衡状态通过高斯函数的和来近似。我们证明了理论解很好地拟合了数值计算。从理论解中,我们获得了对复杂声誉结构的新解释。这项研究为间接互惠的前沿研究提供了新的数学基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4571/9217807/7931567c9663/41598_2022_14171_Fig1_HTML.jpg

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