{"title":"利用免疫系统方法研究自治分布式系统收敛的有效参数","authors":"T. Banirostam, M. Fesharaki","doi":"10.1109/ISADS.2011.28","DOIUrl":null,"url":null,"abstract":"In this paper the Biological Immune System is considered and a model based on Immune System behavior is proposed. For simulation of proposed model, agent’s structure and the Multi Agent System are established based on the Capra Model. To implement the proposed model we used reaction agents in Net logo environment. Finally the effects of learning, adaptation and interaction capabilities in system robustness are considered.","PeriodicalId":221833,"journal":{"name":"2011 Tenth International Symposium on Autonomous Decentralized Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Effective Parameters in Convergence of Autonomous Distributed Systems Using with Immune System Approch\",\"authors\":\"T. Banirostam, M. Fesharaki\",\"doi\":\"10.1109/ISADS.2011.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the Biological Immune System is considered and a model based on Immune System behavior is proposed. For simulation of proposed model, agent’s structure and the Multi Agent System are established based on the Capra Model. To implement the proposed model we used reaction agents in Net logo environment. Finally the effects of learning, adaptation and interaction capabilities in system robustness are considered.\",\"PeriodicalId\":221833,\"journal\":{\"name\":\"2011 Tenth International Symposium on Autonomous Decentralized Systems\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Tenth International Symposium on Autonomous Decentralized Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISADS.2011.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Tenth International Symposium on Autonomous Decentralized Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISADS.2011.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effective Parameters in Convergence of Autonomous Distributed Systems Using with Immune System Approch
In this paper the Biological Immune System is considered and a model based on Immune System behavior is proposed. For simulation of proposed model, agent’s structure and the Multi Agent System are established based on the Capra Model. To implement the proposed model we used reaction agents in Net logo environment. Finally the effects of learning, adaptation and interaction capabilities in system robustness are considered.
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