Effective Parameters in Convergence of Autonomous Distributed Systems Using with Immune System Approch

T. Banirostam, M. Fesharaki
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引用次数: 4

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.
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利用免疫系统方法研究自治分布式系统收敛的有效参数
本文考虑了生物免疫系统,提出了一种基于免疫系统行为的模型。为了对所提出的模型进行仿真,在Capra模型的基础上建立了Agent的结构和多Agent系统。为了实现所提出的模型,我们在网络标识环境中使用了反应代理。最后考虑了学习、适应和交互能力对系统鲁棒性的影响。
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