{"title":"在混合良好且结构合理的人群中提供环境反馈的公共产品游戏","authors":"Jiaying Li , Shaojie Lv , Changheng Zhao","doi":"10.1016/j.chaos.2025.117237","DOIUrl":null,"url":null,"abstract":"<div><div>The feedback between strategy and environment is ubiquitous ranging from nature and human societies. The previously chosen strategy subsequently changes the environment and associated payoffs. Here, we consider a public goods game with environmental feedback, in which the state of the environment depends on the number of cooperators within the group. We investigate the evolutionary dynamics in both well-mixed and structured populations. Our results show that increases in the strength of environmental feedback (<span><math><mi>α</mi></math></span>) and the benchmark multiplication factor (<span><math><mi>r</mi></math></span>) facilitate the evolution of cooperation. On the contrary, an increase in the group size hinders the evolution of cooperation. Furthermore, when <span><math><mi>α</mi></math></span> or <span><math><mi>r</mi></math></span> is low, well-mixed populations facilitate the emergence of cooperation. As <span><math><mi>α</mi></math></span> or <span><math><mi>r</mi></math></span> increases, structured populations are beneficial for cooperators to dominate the whole population. For small group sizes, structured populations more readily evolve into the full-cooperation state. With the increase of group size, well-mixed populations prevent the disappearance of cooperation.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"201 ","pages":"Article 117237"},"PeriodicalIF":5.6000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Public goods games with environmental feedbacks in well-mixed and structured populations\",\"authors\":\"Jiaying Li , Shaojie Lv , Changheng Zhao\",\"doi\":\"10.1016/j.chaos.2025.117237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The feedback between strategy and environment is ubiquitous ranging from nature and human societies. The previously chosen strategy subsequently changes the environment and associated payoffs. Here, we consider a public goods game with environmental feedback, in which the state of the environment depends on the number of cooperators within the group. We investigate the evolutionary dynamics in both well-mixed and structured populations. Our results show that increases in the strength of environmental feedback (<span><math><mi>α</mi></math></span>) and the benchmark multiplication factor (<span><math><mi>r</mi></math></span>) facilitate the evolution of cooperation. On the contrary, an increase in the group size hinders the evolution of cooperation. Furthermore, when <span><math><mi>α</mi></math></span> or <span><math><mi>r</mi></math></span> is low, well-mixed populations facilitate the emergence of cooperation. As <span><math><mi>α</mi></math></span> or <span><math><mi>r</mi></math></span> increases, structured populations are beneficial for cooperators to dominate the whole population. For small group sizes, structured populations more readily evolve into the full-cooperation state. With the increase of group size, well-mixed populations prevent the disappearance of cooperation.</div></div>\",\"PeriodicalId\":9764,\"journal\":{\"name\":\"Chaos Solitons & Fractals\",\"volume\":\"201 \",\"pages\":\"Article 117237\"},\"PeriodicalIF\":5.6000,\"publicationDate\":\"2025-09-29\",\"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/S0960077925012500\",\"RegionNum\":1,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077925012500","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Public goods games with environmental feedbacks in well-mixed and structured populations
The feedback between strategy and environment is ubiquitous ranging from nature and human societies. The previously chosen strategy subsequently changes the environment and associated payoffs. Here, we consider a public goods game with environmental feedback, in which the state of the environment depends on the number of cooperators within the group. We investigate the evolutionary dynamics in both well-mixed and structured populations. Our results show that increases in the strength of environmental feedback () and the benchmark multiplication factor () facilitate the evolution of cooperation. On the contrary, an increase in the group size hinders the evolution of cooperation. Furthermore, when or is low, well-mixed populations facilitate the emergence of cooperation. As or increases, structured populations are beneficial for cooperators to dominate the whole population. For small group sizes, structured populations more readily evolve into the full-cooperation state. With the increase of group size, well-mixed populations prevent the disappearance of cooperation.
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.