Martina Testori, Francesca Giardini, Charlotte K Hemelrijk, Terence D Dores Cruz, Bianca Beersma
{"title":"支持合作最重要的是什么,八卦内容还是八卦者的意图?在八卦动力学中模拟动机解释","authors":"Martina Testori, Francesca Giardini, Charlotte K Hemelrijk, Terence D Dores Cruz, Bianca Beersma","doi":"10.18564/jasss.5194","DOIUrl":null,"url":null,"abstract":": Gossip provides individuals a great volume of information, which allows them to make informed decisions and better adapt to the environment around them. Like all pieces of information, however, if not correctly interpreted, gossip can lead to harmful consequences for individuals. Indeed, computational models have portrayed a complex picture on how gossip impacts cooperation, identifying several limitations of the mechanism. Recent theoretical models and empirical studies have shown how interpreting the information received through gossip is a key component to understand how gossip influences individuals and groups. Thus, we built an agent-based model where we examine two reaction mechanisms for different reputation systems, in which agents first interpret the motive behind gossip and then react on the basis of this interpretation. While the first mechanism relies on an encompassing reputation system in which all pieces of information are used to inform future decisions with other group members, the second mechanism comprises a two-layer reputation system, in which agents’ actions are separate from agents’ reliability as gossipers. Our results support previous empirical findings asserting gossip as an effective way to sustain initial cooperation, and offer a solution for gossipdrivenbynegativemotives: aslongasgossipreceiversignoretheinformationprovidedbygossipersthey deem unreliable and don’t punish them by refraining from cooperative interactions with them, cooperation can be sustained.","PeriodicalId":51498,"journal":{"name":"Jasss-The Journal of Artificial Societies and Social Simulation","volume":"30 1","pages":"0"},"PeriodicalIF":2.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"What Matters Most in Supporting Cooperation, the Gossip Content or the Gossiper’s Intention? 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Thus, we built an agent-based model where we examine two reaction mechanisms for different reputation systems, in which agents first interpret the motive behind gossip and then react on the basis of this interpretation. While the first mechanism relies on an encompassing reputation system in which all pieces of information are used to inform future decisions with other group members, the second mechanism comprises a two-layer reputation system, in which agents’ actions are separate from agents’ reliability as gossipers. Our results support previous empirical findings asserting gossip as an effective way to sustain initial cooperation, and offer a solution for gossipdrivenbynegativemotives: aslongasgossipreceiversignoretheinformationprovidedbygossipersthey deem unreliable and don’t punish them by refraining from cooperative interactions with them, cooperation can be sustained.\",\"PeriodicalId\":51498,\"journal\":{\"name\":\"Jasss-The Journal of Artificial Societies and Social Simulation\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jasss-The Journal of Artificial Societies and Social Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18564/jasss.5194\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jasss-The Journal of Artificial Societies and Social Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18564/jasss.5194","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
What Matters Most in Supporting Cooperation, the Gossip Content or the Gossiper’s Intention? Simulating Motive Interpretation in Gossip Dynamics
: Gossip provides individuals a great volume of information, which allows them to make informed decisions and better adapt to the environment around them. Like all pieces of information, however, if not correctly interpreted, gossip can lead to harmful consequences for individuals. Indeed, computational models have portrayed a complex picture on how gossip impacts cooperation, identifying several limitations of the mechanism. Recent theoretical models and empirical studies have shown how interpreting the information received through gossip is a key component to understand how gossip influences individuals and groups. Thus, we built an agent-based model where we examine two reaction mechanisms for different reputation systems, in which agents first interpret the motive behind gossip and then react on the basis of this interpretation. While the first mechanism relies on an encompassing reputation system in which all pieces of information are used to inform future decisions with other group members, the second mechanism comprises a two-layer reputation system, in which agents’ actions are separate from agents’ reliability as gossipers. Our results support previous empirical findings asserting gossip as an effective way to sustain initial cooperation, and offer a solution for gossipdrivenbynegativemotives: aslongasgossipreceiversignoretheinformationprovidedbygossipersthey deem unreliable and don’t punish them by refraining from cooperative interactions with them, cooperation can be sustained.
期刊介绍:
The Journal of Artificial Societies and Social Simulation is an interdisciplinary journal for the exploration and understanding of social processes by means of computer simulation. Since its first issue in 1998, it has been a world-wide leading reference for readers interested in social simulation and the application of computer simulation in the social sciences. Original research papers and critical reviews on all aspects of social simulation and agent societies that fall within the journal"s objective to further the exploration and understanding of social processes by means of computer simulation are welcome.