DocumentCode :
2825899
Title :
Effective Parameters in Convergence of Autonomous Distributed Systems Using with Immune System Approch
Author :
Banirostam, Touraj ; Fesharaki, Mehdi N.
Author_Institution :
Dept. of Comput. Eng., Islamic Azad Univ., Tehran, Iran
fYear :
2011
fDate :
23-27 March 2011
Firstpage :
204
Lastpage :
208
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 Netlogo environment. Finally the effects of learning, adaptation and interaction capabilities in system robustness are considered.
Keywords :
artificial immune systems; distributed processing; multi-agent systems; software fault tolerance; Capra model; Netlogo environment; agent structure; autonomous distributed systems; biological immune system; immune system behavior; multiagent system; reaction agents; Adaptation model; Biological system modeling; Computational modeling; Immune system; Mathematical model; Object oriented modeling; Robustness; Agent; Antibody; Antigen; Autonomous Computing; Immune System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Autonomous Decentralized Systems (ISADS), 2011 10th International Symposium on
Conference_Location :
Tokyo & Hiroshima
Print_ISBN :
978-1-61284-213-4
Type :
conf
DOI :
10.1109/ISADS.2011.28
Filename :
5741312
Link To Document :
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