全分布信息系统中多智能体系统的任务分配策略研究

F. Corchado, Liming Chen, M. Bui, D. Donsez, P. Faudemay
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引用次数: 1

摘要

本文介绍了一些适用于Internet或其他广域网(WAN)的任务分配技术。这些技术是基于多智能体的协作,这些多智能体组织在一个反应型智能体社区和另一个分配器智能体社区中。响应式代理表示广域网上可用的服务,例如Internet搜索引擎。分配器代理的任务是分配它们从用户接收到的查询。为了做出这样的决定,分配器代理相互协作,共享它们关于反应代理状态的信息。分配器代理能够通过我们开发的知识模型来表征反应代理的行为。为了方便复杂服务的组合,例如多语言文档的检索,我们还定义了另一种代理类型,我们称之为分包商代理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Task Allocation Strategies: A Study with a Multi-Agents System in Fully Distributed Information Systems
In this paper we present some task allocation technics useful on Internet or other Wide Area Network (WAN). These technics are based on the cooperation of multi-agents organized in one community of Reactive agents and another of Allocator agents. Reactive agents represent services availables on the WAN such as Internet search engines. Allocator agents' task is allocate the queries that they receive from users. To take such a decision, Allocator agents cooperate sharing theirs informations about the state of Reactive agents. An Allocator agent is able to characterize the behaviour of Reactive agents by means of a knowledge model we developed. In order to facilitate the composition of complex services such as retrieval of multiple language documents, we also define another agent type we call Sub-contractor agent.
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