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Topologies of agents interactions in knowledge intensive multi-agent systems for networked information services

机译:网络信息服务的知识密集型多智能体系统中的智能体交互拓扑

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Agents in a multi-agent system (mAS) could interact and cooperate in many different ways. The topology of agent interaction determines how the agents control and communicate with each other, what are the control and communication capabilities of each agent and the whole system, and how efficient the control and communications are. In consequence, the topology affects the agents' ability to share knowledge, integrate knowledge, and make efficient use of knowledge in MAS. This paper presents an overview of four major MAS topologic models, assesses their advantages and disadvantages in terms of agent autonomy, adaptation, scalability, and efficiency of cooperation. Some insights into the applicability for each of the topologies to different environment and domain specific applications are explored. A design example of the topological models to an information service management application is attempted to illustrate the practical merits of each topology.
机译:多代理系统(mAS)中的代理可以以许多不同的方式进行交互和协作。代理程序交互的拓扑结构确定了代理程序之间如何控制和通信,每个代理程序和整个系统的控制和通信功能是什么以及控制和通信的效率如何。因此,拓扑会影响代理在MAS中共享知识,集成知识以及有效使用知识的能力。本文概述了四种主要的MAS拓扑模型,从代理自治,适应性,可伸缩性和合作效率方面评估了它们的优缺点。探索了每种拓扑对不同环境和特定于域的应用的适用性的一些见解。尝试为信息服务管理应用程序设计一个拓扑模型,以说明每种拓扑的实际优点。

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