Learning and cooperating in information gathering

Peng Honghui, Lin Zuoquan
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引用次数: 1

Abstract

With the explosive increase of available resources, the Internet has become the main platform for information promulgating and communicating. There are many complicated characteristics of the Internet, so that the effectiveness and efficiency of current information retrieval systems is not satisfying. Internet information retrieval is one of the most active areas of computer science. Software agents have been investigated widely in recent years and agent technology has been applied in some intelligent systems. We introduce a distributed cooperative information retrieval multi-agent system, ICMAS. The system learns to understand user's information demand accurately through interactions with the user. The learning agent can improve the system's ability by acquiring new knowledge and sharing knowledge with other individuals.
学习和合作收集信息
随着可用资源的爆炸式增长,互联网已成为信息发布和交流的主要平台。由于Internet具有许多复杂的特性,使得现有的信息检索系统的有效性和效率不能令人满意。网络信息检索是计算机科学中最活跃的领域之一。软件代理近年来得到了广泛的研究,代理技术在一些智能系统中得到了应用。介绍了一种分布式协同信息检索多智能体系统ICMAS。系统通过与用户的交互,学会准确理解用户的信息需求。学习智能体可以通过获取新知识和与其他个体共享知识来提高系统的能力。
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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