Evolutionary dynamics of multiplayer public goods game with the Wright-Fisher process

IF 3.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2025-03-15 Epub Date: 2025-02-06 DOI:10.1016/j.physa.2025.130428
Cuiling Gu , Wenhao Gao , Xianjia Wang , Rui Ding , Jinhua Zhao
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Abstract

A public goods game (PGG) is a classical evolutionary dynamic model frequently used to explore group interaction and is widely used to explain the emergence and maintenance of cooperation among selfish individuals. This work attempts to study the dynamics of cooperation in a multiplayer PGG that is based on the Wright-Fisher process (WFP). Firstly, a general game -- multiplayer with two-strategy model based on the WFP -- is established to solve the fixation probability of the strategy and to give its natural properties. Then, the multiplayer PGG model with cooperation and defection strategies, based on the WFP, is established, and the fixation probabilities of strategies are solved. In addition, the natural properties of fixation probability are obtained, and the effect of game parameters on the evolution dynamics of cooperation strategy is received. The results show that a turning point of the return coefficient does exist. When the interest factor is greater than the turning point, the cooperative strategy is more likely to occupy the entire population and is an evolutionarily stable strategy (ESSN); the fixation probability of the cooperative strategy also increases in line with the increases in cost and choice intensity. Moreover, the fixation probability of the cooperative strategy increases in line with the increase in the interest factor, and decreases in line with the increase in the number of individuals playing the game and population size. The research in this paper will provide more insights into the evolution of cooperation in a multiplayer PGG.
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基于Wright-Fisher过程的多人公共物品博弈演化动力学
公共物品博弈(public goods game, PGG)是一个经典的进化动态模型,经常用于研究群体互动,并被广泛用于解释自私个体之间合作的产生和维持。这项工作试图研究基于Wright-Fisher过程(WFP)的多人PGG中的合作动态。首先,建立一种基于WFP的双策略多人博弈模型,求解该策略的固定概率并赋予其自然属性。在此基础上,建立了基于WFP的具有合作和叛逃策略的多人PGG模型,并求解了策略的固定概率。此外,还得到了固定概率的自然属性,并得到了博弈参数对合作策略演化动力学的影响。结果表明,回归系数确实存在拐点。当利益因子大于转折点时,合作策略更有可能占据整个种群,是一种进化稳定策略(ESSN);合作策略的固定概率也随着成本和选择强度的增加而增加。此外,合作策略的固定概率随兴趣因子的增加而增加,随参与博弈的个体数量和种群规模的增加而降低。本文的研究将为多人PGG中合作的演变提供更多的见解。
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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