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A Multi-Agent Based Information Locating Strategy with Rewards Evaluation

机译:具有奖励评估的基于多Agent的信息定位策略

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As the application of the large scale information network, the mount of the content in the network is increased sharply. This brings the challenge to the technology of searching and monitoring information content. In this article, it is introduced an information locating strategy, which is based on multi-agent and can be distributed and work parallel. The concept of search-degree and search-rewards are introduced for the agents in the overall system can work simultaneously. The object of work is to search the numerous information nodes or Websites at a very fast speed and not needing occupying too much of network resources. At the same time, some most important information can be monitored for content management. The description and algorithm of the multi-agent information searching system structure and the strategy is given in this paper
机译:随着大规模信息网络的应用,网络中内容的数量急剧增加。这给搜索和监视信息内容的技术带来了挑战。本文介绍了一种基于多智能体的信息定位策略,该策略可以分布式并且可以并行工作。引入了搜索度和搜索奖励的概念,以使整个系统中的代理可以同时工作。工作的目的是以非常快的速度搜索大量的信息节点或网站,而无需占用太多​​的网络资源。同时,可以监视一些最重要的信息以进行内容管理。给出了多智能体信息搜索系统的结构,策略的描述,算法。

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