Cooperation dilemmas in multi-stage public goods games with finite populations

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Yewei Tao , Xiaoqian Zhao , Wenhua Li , Kaipeng Hu , Lei Shi
{"title":"Cooperation dilemmas in multi-stage public goods games with finite populations","authors":"Yewei Tao ,&nbsp;Xiaoqian Zhao ,&nbsp;Wenhua Li ,&nbsp;Kaipeng Hu ,&nbsp;Lei Shi","doi":"10.1016/j.chaos.2025.116714","DOIUrl":null,"url":null,"abstract":"<div><div>Cooperation in the real world is often based on continuous inputs in multiple stages, and the realization of cooperative outcomes depends on individual strategic choices in multiple successive stages. However, this mechanism of stage benefit accumulation and delayed distribution may compress the viability of cooperation and exacerbate the evolutionary pressure faced by cooperators. In this paper, we construct a two-stage public goods game model based on finite populations, and examine the effects of different selection intensities and stage synergy factors on the evolution of the system. It is found that under the setting of cumulative gains and delayed allocation, it is difficult for cooperators to resist the joint exploitation by defectors at different stages, and the system is more inclined to evolution to a mixed-strategy pattern dominated by first-stage cooperation only. It is difficult to change the cooperation disadvantage by enhancing the first-stage synergies alone, and it is also difficult to realize the full cooperation steady state by enhancing the two-stage synergy factors at the same time. In contrast, weak selection or smaller group sizes can help alleviate the pressure of strategic exploitation and provide a narrow space for cooperation.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"199 ","pages":"Article 116714"},"PeriodicalIF":5.3000,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077925007271","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Cooperation in the real world is often based on continuous inputs in multiple stages, and the realization of cooperative outcomes depends on individual strategic choices in multiple successive stages. However, this mechanism of stage benefit accumulation and delayed distribution may compress the viability of cooperation and exacerbate the evolutionary pressure faced by cooperators. In this paper, we construct a two-stage public goods game model based on finite populations, and examine the effects of different selection intensities and stage synergy factors on the evolution of the system. It is found that under the setting of cumulative gains and delayed allocation, it is difficult for cooperators to resist the joint exploitation by defectors at different stages, and the system is more inclined to evolution to a mixed-strategy pattern dominated by first-stage cooperation only. It is difficult to change the cooperation disadvantage by enhancing the first-stage synergies alone, and it is also difficult to realize the full cooperation steady state by enhancing the two-stage synergy factors at the same time. In contrast, weak selection or smaller group sizes can help alleviate the pressure of strategic exploitation and provide a narrow space for cooperation.
有限人口下多阶段公共物品博弈中的合作困境
现实世界中的合作往往是基于多个阶段的连续投入,而合作成果的实现取决于多个连续阶段的个体战略选择。然而,这种阶段性利益积累和延迟分配的机制可能会压缩合作的可行性,加剧合作者面临的进化压力。本文构建了一个基于有限种群的两阶段公共物品博弈模型,并考察了不同选择强度和阶段协同因素对系统演化的影响。研究发现,在累积收益和延迟分配的设置下,合作方难以抵抗不同阶段的叛逃者联合剥削,系统更倾向于进化为仅以第一阶段合作为主导的混合策略模式。单纯通过增强第一阶段协同难以改变合作劣势,同时通过增强两阶段协同因素也难以实现充分合作稳态。相反,弱选择或较小的群体规模有助于减轻战略开发的压力,并提供一个狭窄的合作空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信