Paper Info
Title
Effective Parameters in Convergence of Autonomous Distributed Systems Using with Immune System Approch
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.
Year
DOI
Venue
2011
10.1109/ISADS.2011.28
Autonomous Decentralized Systems
Keywords
Field
DocType
capra model,interaction capability,biological immune system,immune system approch,logo environment,immune system behavior,effective parameters,system robustness,multi agent system,reaction agent,computer model,robustness,software fault tolerance,distributed processing,agent,distributed system,mathematical model,computational modeling,immune system,multi agent systems,antigen,artificial immune systems,antibody,autonomic computing
Convergence (routing),Object-oriented modeling,Artificial immune system,Computer science,Biological immune system,Software fault tolerance,Robustness (computer science),NetLogo,Multi-agent system,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-61284-213-4
2
0.42
References 
Authors
6
2
Name
Order
Citations
PageRank
Touraj Banirostam183.35
Mehdi N. Fesharaki2124.08