Complex Mobile Multiagent Systems

IF 2.6 3区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Systems Science & Complexity Pub Date : 2008-11-08 DOI:10.1109/CANS.2008.10
B. Iantovics, Bogdan Crainicu
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引用次数: 1

Abstract

Mobile agents as network computing technology has been applied to solve various parallel and distributed computing problems, including parallel processing, information search and network management. Protection of the mobile agents in the network and against the hosts is a difficult task. In this paper, we analyze the increased security solutions provided by a novel class of mobile agents called ICMA agents developed during our previous researches. An ICMA multiagent system is a complex system, composed from relatively simple agents who at the level of the system has a complex behavior. ICMA mobile agents have some advantages in the protection versus other mobile agents described in the literature. The self-protection mechanisms consist in distributing the problem solving knowledge, reducing the useless distributed problem solving knowledge in time and intelligent controlling of the distributed operating components. In this paper there are introduced the notions internal and external complexity of an agent-based complex system.
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复杂移动多代理系统
移动代理作为网络计算技术已被应用于解决各种并行和分布式计算问题,包括并行处理、信息搜索和网络管理。保护网络中的移动代理和主机免受攻击是一项艰巨的任务。在本文中,我们分析了在我们之前的研究中开发的一类名为ICMA的新型移动代理所提供的增强安全性的解决方案。ICMA多智能体系统是一个复杂的系统,由相对简单的智能体组成,这些智能体在系统层面上具有复杂的行为。与文献中描述的其他移动代理相比,ICMA移动代理在保护方面具有一些优势。自我保护机制包括:分布式问题解决知识的分布,及时减少无用的分布式问题解决知识,以及对分布式运行组件的智能控制。本文介绍了基于智能体的复杂系统的内部复杂性和外部复杂性的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Systems Science & Complexity
Journal of Systems Science & Complexity 数学-数学跨学科应用
CiteScore
3.80
自引率
9.50%
发文量
90
审稿时长
6-12 weeks
期刊介绍: The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.
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