{"title":"基于声誉的策略持久性和环境反馈促进了空间雪堆游戏中的合作","authors":"Jinxiu Pi , Chun Wang , Jin Cai , Wei Tang","doi":"10.1016/j.physa.2025.131061","DOIUrl":null,"url":null,"abstract":"<div><div>In complex human social environments, individuals tend to emulate those who achieve both high benefits and high reputations, rather than nice guys who maintain good reputations despite obtaining low benefits. Typically, individual reputation does not vary uniformly with the persistence of her/his strategies. Meanwhile, environmental reputation emerges from these individual reputations and in turn influences the persistence of individual strategies. Motivated by these facts, we incorporate strategy persistence and environmental feedback into the spatial snowdrift game to investigate how individual reputation affects behavioral choices and promotes social cooperation under these dual mechanisms. Specifically, we first define high-benefit individuals as those whose payoffs exceed the community average, then characterize the nonlinear dynamics of individual reputation using an exponential function, and finally construct an environmental feedback function based on local and global reputations. Simulation results demonstrate that enhanced individual reputation reinforced by high benefits and strategic persistence facilitates the propagation of cooperative behaviors. Moreover, increasing emphasis on local neighbor reputation while reducing consideration of global population reputation in environmental feedback mechanisms significantly promotes cooperation levels within the system.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"681 ","pages":"Article 131061"},"PeriodicalIF":3.1000,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reputation-based strategy persistence and environmental feedback promote cooperation in spatial snowdrift games\",\"authors\":\"Jinxiu Pi , Chun Wang , Jin Cai , Wei Tang\",\"doi\":\"10.1016/j.physa.2025.131061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In complex human social environments, individuals tend to emulate those who achieve both high benefits and high reputations, rather than nice guys who maintain good reputations despite obtaining low benefits. Typically, individual reputation does not vary uniformly with the persistence of her/his strategies. Meanwhile, environmental reputation emerges from these individual reputations and in turn influences the persistence of individual strategies. Motivated by these facts, we incorporate strategy persistence and environmental feedback into the spatial snowdrift game to investigate how individual reputation affects behavioral choices and promotes social cooperation under these dual mechanisms. Specifically, we first define high-benefit individuals as those whose payoffs exceed the community average, then characterize the nonlinear dynamics of individual reputation using an exponential function, and finally construct an environmental feedback function based on local and global reputations. Simulation results demonstrate that enhanced individual reputation reinforced by high benefits and strategic persistence facilitates the propagation of cooperative behaviors. Moreover, increasing emphasis on local neighbor reputation while reducing consideration of global population reputation in environmental feedback mechanisms significantly promotes cooperation levels within the system.</div></div>\",\"PeriodicalId\":20152,\"journal\":{\"name\":\"Physica A: Statistical Mechanics and its Applications\",\"volume\":\"681 \",\"pages\":\"Article 131061\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-10-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physica A: Statistical Mechanics and its Applications\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378437125007137\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PHYSICS, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica A: Statistical Mechanics and its Applications","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378437125007137","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
Reputation-based strategy persistence and environmental feedback promote cooperation in spatial snowdrift games
In complex human social environments, individuals tend to emulate those who achieve both high benefits and high reputations, rather than nice guys who maintain good reputations despite obtaining low benefits. Typically, individual reputation does not vary uniformly with the persistence of her/his strategies. Meanwhile, environmental reputation emerges from these individual reputations and in turn influences the persistence of individual strategies. Motivated by these facts, we incorporate strategy persistence and environmental feedback into the spatial snowdrift game to investigate how individual reputation affects behavioral choices and promotes social cooperation under these dual mechanisms. Specifically, we first define high-benefit individuals as those whose payoffs exceed the community average, then characterize the nonlinear dynamics of individual reputation using an exponential function, and finally construct an environmental feedback function based on local and global reputations. Simulation results demonstrate that enhanced individual reputation reinforced by high benefits and strategic persistence facilitates the propagation of cooperative behaviors. Moreover, increasing emphasis on local neighbor reputation while reducing consideration of global population reputation in environmental feedback mechanisms significantly promotes cooperation levels within the system.
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.