A payoff equality perspective for evolutionary games: Mental accounting and cooperation promotion

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yandi Liu , Yonghui Li
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引用次数: 0

Abstract

The secret behind cooperation with the present profit-pursuing nature has been unveiled via the Evolutionary Game Theory and models. However, the payoff equality is not sufficiently explored. This paper proposes a simple but efficient way to focus on the synergetic behaviors of payoff equality and cooperation improvement. Herein, the classical Evolutional Game model is re-evaluated from the perspective of payoff equality. By assuming the similarity between the value function in “mental accounting effect” and the inverse of the Lorenz curve, the “rank strategy” is introduced in the form of a slightly alternated Fermi strategy which focuses on the rank difference on the wealth (payoff) distribution curve along the calculation of the Gini coefficient. Such introduction opens up a new perspective to the cross section between economics and the evolutionary game theory. Compared with the original Fermi strategy adoption (named payoff strategy), the rank strategy significantly aids the system to survive a higher benefit with a faster recovery after the enduring period. The reason behind this can be discussed from the formation of giant clusters, which also indicates a spillover effect in both cooperation and payoff equality improvement. A further breakdown in the population also suggests the leading role of rich players who help poor players in improving the payoff equality among them. The rank strategy is further evaluated in a broad parameter range with different combinations of the ratio of initial cooperators, the benefit (b) and the fitness (K). In most cases, the rank strategy shows a better performance in both the fraction of cooperators and the Gini coefficient, which concludes that the mental accounting effect could be the more realistic factor that may be critical to consider. The resolution in the cooperative mechanism may also be linked to wealth equality. Simulation results in this work suggest a close relationship between cooperation improvement and the payoff equality which is not extensively explored in earlier works. Simulations with Gini distribution explain “A good deed is never lost” in a numerical way.

进化博弈的报酬平等视角:心理核算与促进合作
通过进化博弈论和模型,人们揭开了目前逐利性合作背后的秘密。然而,人们对报酬平等的探讨还不够深入。本文提出了一种简单而有效的方法来关注报酬平等与合作改善的协同行为。本文从报酬平等的角度重新评估了经典的进化博弈模型。通过假定 "心理会计效应 "中的价值函数与洛伦兹曲线的倒数之间的相似性,以略微交替的费米策略的形式引入了 "等级策略",即在计算基尼系数的同时关注财富(报酬)分布曲线上的等级差异。这种引入为经济学与进化博弈论之间的交叉部分开辟了一个新的视角。与最初采用的费米策略(命名为报酬策略)相比,等级策略大大有助于系统在持久期后以更快的恢复速度获得更高的收益。这背后的原因可以从巨型集群的形成来讨论,这也表明了合作和报酬平等改善的溢出效应。对人群的进一步细分也表明,富裕玩家在帮助贫穷玩家改善他们之间的报酬平等方面起着主导作用。在初始合作者比例、收益(b)和适应度(K)的不同组合下,我们在广泛的参数范围内对等级策略进行了进一步评估。在大多数情况下,等级策略在合作者比例和基尼系数方面都有更好的表现,由此得出结论,心理会计效应可能是更现实的因素,可能是需要考虑的关键因素。合作机制的解决也可能与财富平等有关。这项工作的模拟结果表明,合作改善与报酬平等之间存在密切关系,而这在以前的工作中并没有得到广泛探讨。利用基尼分布进行的模拟以数字方式解释了 "善行不失"。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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