{"title":"通过代理资格最大化群体效用同时避免冲突","authors":"Keyi Chen;Tianxing Wang;Haibin Zhu;Bing Huang","doi":"10.1109/TCSS.2024.3504398","DOIUrl":null,"url":null,"abstract":"Role-based collaboration (RBC) is a role-centered computational approach designed to solve collaboration problems. Group role assignment is an essential and extensive part of this research. Based on group multirole assignment (GMRA), this article addresses some issues in the current research. First, managers often hope to obtain the highest benefits rather than maximizing the team performance, which is emphasized in the traditional RBC research. This article introduces the use of expected utility theory to assign roles in order to maximize team effectiveness. Second, the existing studies need to provide expressions of agent and role conflicts, which have yet to be reasonably addressed. This article classifies conflicts by employing agent and role capability combined with the three-way conflict analysis theory. Based on these, this article puts forward the utility-based GMRA with conflicting agent and role problems. The validity is verified through several experiments and comparative analysis, which provides more possibilities for future research.","PeriodicalId":13044,"journal":{"name":"IEEE Transactions on Computational Social Systems","volume":"12 2","pages":"552-562"},"PeriodicalIF":4.5000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Maximizing Group Utilities While Avoiding Conflicts Through Agent Qualifications\",\"authors\":\"Keyi Chen;Tianxing Wang;Haibin Zhu;Bing Huang\",\"doi\":\"10.1109/TCSS.2024.3504398\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Role-based collaboration (RBC) is a role-centered computational approach designed to solve collaboration problems. Group role assignment is an essential and extensive part of this research. Based on group multirole assignment (GMRA), this article addresses some issues in the current research. First, managers often hope to obtain the highest benefits rather than maximizing the team performance, which is emphasized in the traditional RBC research. This article introduces the use of expected utility theory to assign roles in order to maximize team effectiveness. Second, the existing studies need to provide expressions of agent and role conflicts, which have yet to be reasonably addressed. This article classifies conflicts by employing agent and role capability combined with the three-way conflict analysis theory. Based on these, this article puts forward the utility-based GMRA with conflicting agent and role problems. The validity is verified through several experiments and comparative analysis, which provides more possibilities for future research.\",\"PeriodicalId\":13044,\"journal\":{\"name\":\"IEEE Transactions on Computational Social Systems\",\"volume\":\"12 2\",\"pages\":\"552-562\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2024-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Computational Social Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10789216/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, CYBERNETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computational Social Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10789216/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
Maximizing Group Utilities While Avoiding Conflicts Through Agent Qualifications
Role-based collaboration (RBC) is a role-centered computational approach designed to solve collaboration problems. Group role assignment is an essential and extensive part of this research. Based on group multirole assignment (GMRA), this article addresses some issues in the current research. First, managers often hope to obtain the highest benefits rather than maximizing the team performance, which is emphasized in the traditional RBC research. This article introduces the use of expected utility theory to assign roles in order to maximize team effectiveness. Second, the existing studies need to provide expressions of agent and role conflicts, which have yet to be reasonably addressed. This article classifies conflicts by employing agent and role capability combined with the three-way conflict analysis theory. Based on these, this article puts forward the utility-based GMRA with conflicting agent and role problems. The validity is verified through several experiments and comparative analysis, which provides more possibilities for future research.
期刊介绍:
IEEE Transactions on Computational Social Systems focuses on such topics as modeling, simulation, analysis and understanding of social systems from the quantitative and/or computational perspective. "Systems" include man-man, man-machine and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. More specifically, the proposed transactions publishes articles on modeling the dynamics of social systems, methodologies for incorporating and representing socio-cultural and behavioral aspects in computational modeling, analysis of social system behavior and structure, and paradigms for social systems modeling and simulation. The journal also features articles on social network dynamics, social intelligence and cognition, social systems design and architectures, socio-cultural modeling and representation, and computational behavior modeling, and their applications.