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Multi-agent based internet search

机译：基于多功能的互联网搜索

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In this paper we present a multi-agent system for searching the Internet. The search for interesting documents on the Internet is becoming more and more difficult. Inference engines are largely outperformed by the expansion of the Internet and the results of queries are often of very poor quality. To improve the search process, intelligent individual agents were developed. We believe that multi-agent systems can give more accurate results than individual agents because in a multi-agent system agents can be specialized in different tasks and can share information. We implemented such an approach using an open multi-agent system containing personal assistants, library agents, filter agents and search agents. In this paper we study the models of internet multi-agent systems and propose an architecture to accomplish intelligent web search. The application is based on an AUML protocol (slightly extended) to accomplish interoperability and yields much more accurate results than standard search engines.
机译：在本文中，我们提出了一种用于搜索互联网的多智能体系。搜索互联网上有趣的文件变得越来越困难。推理引擎在很大程度上超越了互联网的扩展，查询的结果通常很差。为了改善搜索过程，开发了智能个人代理。我们认为，多种代理系统可以提供比单个代理更准确的结果，因为在多代理系统代理中可以专门用于不同的任务，并且可以共享信息。我们使用包含个人助理，图书馆代理，过滤器代理和搜索代理的开放式多代理系统实现了这种方法。在本文中，我们研究了互联网多代理系统的模型，并提出了一种实现智能网络搜索的架构。该应用程序基于AUML协议（略微扩展）以实现互操作性，并且产生比标准搜索引擎更准确的结果。

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