Enqiang Zhu , Jia Chen , Shiqi Liu , Xiaokai Zhang , Chanjuan Liu
{"title":"复杂网络中异质性投资对信任演化的影响","authors":"Enqiang Zhu , Jia Chen , Shiqi Liu , Xiaokai Zhang , Chanjuan Liu","doi":"10.1016/j.physa.2025.130898","DOIUrl":null,"url":null,"abstract":"<div><div>Cooperation, despite its apparent contradiction with Darwinian competition, is widespread. Trust underpins socio-economic interactions and promotes cooperation, yet excessive trust can lead to losses. Furthermore, trust game studies indicate that heterogeneity, reputation, and punishment significantly enhance cooperation. However, traditional models often assume fixed investor investments, overlooking adaptive decision-making. To address this limitation, we develop a multi-agent trust game incorporating investment heterogeneity. In this framework, investors dynamically adjust their contributions based on collective trust levels, enabling high-trust groups to accumulate greater total assets. Simulation results demonstrate three key findings: (1) Heterogeneous investments accelerate the development of trust, expanding the populations of trustworthy trustees and investors while increasing total assets; (2) Increased investment heterogeneity facilitates high-trust equilibria even under strong social dilemmas; (3) The proportion of strategic individuals has a negligible impact on stabilized trust levels.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"677 ","pages":"Article 130898"},"PeriodicalIF":3.1000,"publicationDate":"2025-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The influence of heterogeneous investment on the evolution of trust in complex networks\",\"authors\":\"Enqiang Zhu , Jia Chen , Shiqi Liu , Xiaokai Zhang , Chanjuan Liu\",\"doi\":\"10.1016/j.physa.2025.130898\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Cooperation, despite its apparent contradiction with Darwinian competition, is widespread. Trust underpins socio-economic interactions and promotes cooperation, yet excessive trust can lead to losses. Furthermore, trust game studies indicate that heterogeneity, reputation, and punishment significantly enhance cooperation. However, traditional models often assume fixed investor investments, overlooking adaptive decision-making. To address this limitation, we develop a multi-agent trust game incorporating investment heterogeneity. In this framework, investors dynamically adjust their contributions based on collective trust levels, enabling high-trust groups to accumulate greater total assets. Simulation results demonstrate three key findings: (1) Heterogeneous investments accelerate the development of trust, expanding the populations of trustworthy trustees and investors while increasing total assets; (2) Increased investment heterogeneity facilitates high-trust equilibria even under strong social dilemmas; (3) The proportion of strategic individuals has a negligible impact on stabilized trust levels.</div></div>\",\"PeriodicalId\":20152,\"journal\":{\"name\":\"Physica A: Statistical Mechanics and its Applications\",\"volume\":\"677 \",\"pages\":\"Article 130898\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-08-22\",\"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/S0378437125005503\",\"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/S0378437125005503","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}
The influence of heterogeneous investment on the evolution of trust in complex networks
Cooperation, despite its apparent contradiction with Darwinian competition, is widespread. Trust underpins socio-economic interactions and promotes cooperation, yet excessive trust can lead to losses. Furthermore, trust game studies indicate that heterogeneity, reputation, and punishment significantly enhance cooperation. However, traditional models often assume fixed investor investments, overlooking adaptive decision-making. To address this limitation, we develop a multi-agent trust game incorporating investment heterogeneity. In this framework, investors dynamically adjust their contributions based on collective trust levels, enabling high-trust groups to accumulate greater total assets. Simulation results demonstrate three key findings: (1) Heterogeneous investments accelerate the development of trust, expanding the populations of trustworthy trustees and investors while increasing total assets; (2) Increased investment heterogeneity facilitates high-trust equilibria even under strong social dilemmas; (3) The proportion of strategic individuals has a negligible impact on stabilized trust levels.
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.