M. Kloock, Matthis Dirksen, S. Kowalewski, Bassam Alrifaee
{"title":"Generation of Coupling Topologies for Multi-Agent Systems using Non-Cooperative Games","authors":"M. Kloock, Matthis Dirksen, S. Kowalewski, Bassam Alrifaee","doi":"10.1109/iv51971.2022.9827431","DOIUrl":null,"url":null,"abstract":"This paper presents a method for generating coupling topologies for multi-agent systems. Our method is based on a non-cooperative game in which each agent chooses couplings to activate or deactivate using a utility function. The utility function measures the importance of agents to one another and enables conflict avoidance in distributed decision-making. Depending on the application’s needs, our method is able to generate unidirectional or bidirectional couplings. In our evaluation, we used car-like robots in a simulation environment. It shows that the generated coupling topologies are applicable to the domain of networked and autonomous vehicles.","PeriodicalId":184622,"journal":{"name":"2022 IEEE Intelligent Vehicles Symposium (IV)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Intelligent Vehicles Symposium (IV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iv51971.2022.9827431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a method for generating coupling topologies for multi-agent systems. Our method is based on a non-cooperative game in which each agent chooses couplings to activate or deactivate using a utility function. The utility function measures the importance of agents to one another and enables conflict avoidance in distributed decision-making. Depending on the application’s needs, our method is able to generate unidirectional or bidirectional couplings. In our evaluation, we used car-like robots in a simulation environment. It shows that the generated coupling topologies are applicable to the domain of networked and autonomous vehicles.