基于分层网络的多智能体系统的鲁棒协作与交互

Z. W. Zhao, I. Chen, Jun Zhang
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引用次数: 0

摘要

基于网络行为和协同进化的思想,提出了一种新的多智能体系统(MAS)体系结构,研究了智能体之间的协作和交互能力。实际上,当前MAS的发展与通信网络的发展几乎是同步的,因为信息交换的方式主要依赖于数据传输的方式和先进通信技术的壮观。所提出的MAS架构掩盖了媒体传输平台内部真实的复杂细节,从而可以通过分散的智能代理合理而简单地处理复杂的数据传播过程。仿真结果表明,本文提出的MAS体系结构及其运行机制具有较好的灵活性、鲁棒性和可扩展性,适合于MAS中分散agent之间的协作和交互。在未来的研究中,将研究和开发一些相关的优化算法和运行机制,以考虑MAS的综合性能和架构的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust collaboration and interaction in a multi-agent system basing on hierarchical networks
This paper considers the capability of collaboration and interaction between agents in a new architecture of multi-agent systems (MAS) basing on the thought of network behavior and co-evolution. Actually, current development of MAS nearly synchronously accompanies with the development of communication networks ever increasingly because the approaches of information exchange are mainly depended on the modes of data transmission and the spectacular of advanced communication technologies. The real detailed complexity inside the media transmission platform is masked in the proposed architecture of MAS so that the complex processes of data dissemination can be coped with reasonably and simply by way of decentralized intelligent agents. According to the simulation result and the comparison with other typical models of MAS, the presented architecture of MAS and its running mechanism exhibit better advantages such as flexibility, robustness and expansibility suited to the collaboration and interaction among decentralized agents in MAS. Toward the future research, some related optimal algorithms and running mechanisms concerning the integrated performance and the complexity of the MAS's architecture will be investigated and developed.
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