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
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