Smart Agent and it’s effect on Artificial Intelligence : A Review Study

R. R. Asaad, Veman Ashqi Saeed, Revink Masud Abdulhakim
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引用次数: 3

Abstract

Current networking technologies, as well as the ready availability of large quantities of data and knowledge on the Internet-based Infosphere, offer tremendous opportunities for providing more abundant and reliable information to decision makers and decision support systems. The use of the Internet has increased at a breakneck pace. Some prevailing features of the Infosphere, however, have hindered successful use of the Internet by humans or decision support machine systems. To begin with, the information available on the internet is disorganized, multi-modal, and spread around the globe on server pages. Second, every day, the number and variety of data sources and services grows dramatically. In addition, the availability, type, and dependability of information services are all changing all the time. Third, the same piece of knowledge can be obtained from a number of different sources. Fourth, due to the complex existence of information sources and possible information updating and maintenance issues, information is vague and probably incorrect. As a result, collecting, filtering, evaluating, and using information in problem solving is becoming increasingly difficult for a human or computer device. As a consequence, identifying information sources, accessing, filtering, and incorporating data in support of decision-making, as well as managing information retrieval and problem-solving efforts of information sources and decision-making processes, has become a critical challenge. To fix this issue, the idea of "Intelligent Software Agents" has been suggested. Although a precise definition of an intelligent agent is still a work in progress, the current working definition is that Intelligent Software Agents are programs that act on behalf of their human users to perform laborious information gathering tasks such as locating and accessing information from various on-line information sources, resolving inconsistencies in the retrieved information, filtering out irrelevant data.
智能代理及其对人工智能的影响综述
当前的网络技术,以及基于internet的Infosphere上大量数据和知识的现成可用性,为向决策者和决策支持系统提供更丰富、更可靠的信息提供了巨大的机会。互联网的使用以惊人的速度增长。但是,Infosphere的一些流行特性阻碍了人类或决策支持机器系统成功地使用Internet。首先,internet上可用的信息是无组织的、多模式的,并且在服务器页面上遍布全球。其次,数据源和服务的数量和种类每天都在急剧增长。此外,信息服务的可用性、类型和可靠性一直在变化。第三,同一件知识可以从许多不同的来源获得。第四,由于信息来源的复杂存在以及可能存在的信息更新和维护问题,信息是模糊的,可能是不正确的。因此,收集、过滤、评估和使用信息来解决问题对人类或计算机设备来说变得越来越困难。因此,识别信息源、访问、过滤和合并数据以支持决策,以及管理信息检索和信息源和决策过程的解决问题的努力,已成为一个关键的挑战。为了解决这个问题,有人提出了“智能软件代理”的概念。虽然智能代理的精确定义仍在进行中,但目前的工作定义是智能软件代理是代表其人类用户执行费力的信息收集任务的程序,例如定位和访问来自各种在线信息源的信息,解决检索信息中的不一致,过滤掉无关数据。
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