{"title":"Functional Structure of Autonomically Emerged Network in an Environment","authors":"T. Funato, D. Kurabayashi","doi":"10.1109/ICCCYB.2006.305713","DOIUrl":null,"url":null,"abstract":"The structure, function and environment of a system are deeply connected: the topological features of a network affect the function of a system, and the structure is affected by the environment. This paper deals with the network that emerges as a consequence of agent motion. We assume that the agents are moving in a field and develop a task to eliminate obstacles, and we consider the relationship among interacting agents as a network. We consider the structural properties of this network from the viewpoint of functionality - the number of tasks executed. By simulation, we show the emerged structure exhibits small world (SW) characteristics, and the characteristics help in the effective execution of the tasks.","PeriodicalId":160588,"journal":{"name":"2006 IEEE International Conference on Computational Cybernetics","volume":"98 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Computational Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCYB.2006.305713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The structure, function and environment of a system are deeply connected: the topological features of a network affect the function of a system, and the structure is affected by the environment. This paper deals with the network that emerges as a consequence of agent motion. We assume that the agents are moving in a field and develop a task to eliminate obstacles, and we consider the relationship among interacting agents as a network. We consider the structural properties of this network from the viewpoint of functionality - the number of tasks executed. By simulation, we show the emerged structure exhibits small world (SW) characteristics, and the characteristics help in the effective execution of the tasks.