{"title":"Evaluating resilience strategies based on an evolutionary multi-agent system","authors":"Kazuhiro Minami, Tomoya Tanjo, H. Maruyama","doi":"10.1109/CYBERNETICSCOM.2013.6865776","DOIUrl":null,"url":null,"abstract":"Many social infrastructures fail in an unexpected way, and thus it is important to make a system resilient such that it can recover from various damages in a dynamic and flexible way. There seems to be a consensus among many researchers in this field that redundancy, diversity, and adaptability are the three key characteristics of resilient systems that can absorb shocks and recover from damages gracefully. However, it is still not clear how we quantitatively combine those strategies to build a resilient system of a given domain. In this paper, we present an evolutionary multi-agent system for evaluating the effectiveness of those strategies and show several insights drawn from our preliminary results.","PeriodicalId":351051,"journal":{"name":"2013 IEEE International Conference on Computational Intelligence and Cybernetics (CYBERNETICSCOM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Computational Intelligence and Cybernetics (CYBERNETICSCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBERNETICSCOM.2013.6865776","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
Many social infrastructures fail in an unexpected way, and thus it is important to make a system resilient such that it can recover from various damages in a dynamic and flexible way. There seems to be a consensus among many researchers in this field that redundancy, diversity, and adaptability are the three key characteristics of resilient systems that can absorb shocks and recover from damages gracefully. However, it is still not clear how we quantitatively combine those strategies to build a resilient system of a given domain. In this paper, we present an evolutionary multi-agent system for evaluating the effectiveness of those strategies and show several insights drawn from our preliminary results.
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