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从异质群体的不对称中涌现出合作的复杂途径。

Complex pathways to cooperation emergent from asymmetry in heterogeneous populations.

机构信息

Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China.

Faculty of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan.

出版信息

Chaos. 2024 Feb 1;34(2). doi: 10.1063/5.0188177.

Abstract

Cooperation within asymmetric populations has garnered significant attention in evolutionary games. This paper explores cooperation evolution in populations with weak and strong players, using a game model where players choose between cooperation and defection. Asymmetry stems from different benefits for strong and weak cooperators, with their benefit ratio indicating the degree of asymmetry. Varied rankings of parameters including the asymmetry degree, cooperation costs, and benefits brought by weak players give rise to scenarios including the prisoner's dilemma (PDG) for both player types, the snowdrift game (SDG), and mixed PDG-SDG interactions. Our results indicate that in an infinite well-mixed population, defection remains the dominant strategy when strong players engage in the prisoner's dilemma game. However, if strong players play snowdrift games, global cooperation increases with the proportion of strong players. In this scenario, strong cooperators can prevail over strong defectors when the proportion of strong players is low, but the prevalence of cooperation among strong players decreases as their proportion increases. In contrast, within a square lattice, the optimum global cooperation emerges at intermediate proportions of strong players with moderate degrees of asymmetry. Additionally, weak players protect cooperative clusters from exploitation by strong defectors. This study highlights the complex dynamics of cooperation in asymmetric interactions, contributing to the theory of cooperation in asymmetric games.

摘要

在非对称群体中合作已引起进化博弈的广泛关注。本文通过一个合作与背叛之间的博弈模型,研究了强、弱参与者群体中的合作演化。不对称源于强、弱合作者的不同收益,其收益比表示不对称的程度。各种参数的排名包括不对称程度、合作成本以及弱参与者的收益,这导致了包括两种类型参与者的囚徒困境博弈(PDG)、雪堆博弈(SDG)和混合 PDG-SDG 相互作用的情景。研究结果表明,在无限均匀混合的群体中,当强参与者进行囚徒困境博弈时,背叛仍然是主导策略。然而,如果强参与者玩雪堆博弈,全球合作随着强参与者比例的增加而增加。在这种情况下,当强参与者的比例较低时,强合作者可以战胜强背叛者,但随着强参与者比例的增加,强参与者之间合作的普遍性会降低。相比之下,在正方形晶格中,最优的全局合作出现在具有中等不对称程度的强参与者的中间比例。此外,弱参与者保护合作群体免受强背叛者的剥削。本研究强调了非对称相互作用中合作的复杂动态,为非对称博弈中的合作理论做出了贡献。

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