多智能体系统方法和方法综述

M. Pérez-Pons, Javier Parra-Domínguez, Camilo Anzola-Rojas, Ramón J. Durán Barroso, I. Miguel, J. Queiroz, Paulo Leitão
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引用次数: 0

摘要

根据定义,代理被理解为与环境以及其他代理交互的实体。因此,当两个或多个智能体能够一起工作以解决一个共同的问题时,它们就形成了一个多智能体系统(MAS)。MAS是集成了一组相互作用、沟通和协调以实现既定目标的代理的系统。MAS是根据一套规则和标准来实现一系列目标的。本文简要总结了文献中广泛使用的不同MAS分类和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A brief review on Multi-Agent System Approaches and Methodologies
Agents are understood by definition as entities that interact with their environment and also with other agents. Thus, when two or more agents are able to work together in order to solve a common problem, they form a multi-agent system (MAS). MAS are systems that integrate a set of agents that interact, communicate and coordinate to achieve the established objectives. MAS are designed to meet a set of objectives according to a set of rules and standards. This article briefly summarizes different MAS classifications and methodologies that have been extensively used in the literature.
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