{"title":"Evolutionary dynamics of multi-agent formation","authors":"Jinjing Qin, X. Ban, Xin Li","doi":"10.1109/CCDC.2009.5192601","DOIUrl":null,"url":null,"abstract":"To probe into the internal mechanism of multi-agent formation, game theory is used to model the interaction between agents and Win-Stay-Lose-Shift strategy to instruct agents' action. Equations are introduced to formulate how agents update their positions. The Win-Stay-Lose-Shift strategy along with the update equations depicts the dynamics of multi-agent formation. And simulations are designed and performed to observe the development of multi-agent formation. The results of simulation show the feasibility of the idea in this paper.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2009.5192601","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
To probe into the internal mechanism of multi-agent formation, game theory is used to model the interaction between agents and Win-Stay-Lose-Shift strategy to instruct agents' action. Equations are introduced to formulate how agents update their positions. The Win-Stay-Lose-Shift strategy along with the update equations depicts the dynamics of multi-agent formation. And simulations are designed and performed to observe the development of multi-agent formation. The results of simulation show the feasibility of the idea in this paper.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
