An Agent Based Dynamic Knowledge Profile Framework

K. H. Robin, S. Uddin, T. Chowdhury
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Abstract

In this research, A Conceptual Framework of the Intelligent Agent-Based Knowledge Profile designed to help people become aware of their skills. It will also analyze their skills, tools, and practices helping them to identify skill gaps if there is any. This is a web-based platform design. Where full mechanisms and functions controlled by automatic bots or intelligent agent through an algorithm specifically designed to meet the purpose. During this study, very few research has found so far related to dynamic Knowledge Profile. The number of research papers, information, and data regarding relevant research is difficult to find. We also have found a similarity between Knowledge profile and Graduate profile. A theoretical framework and structural design have proposed in this research. Also, an algorithm has proposed for comparing data. Basically, this framework raised on some specific components. The user, Intelligent Bot, and Algorithm, these three components are the main pillars of this framework. It is expected that this framework can be used to identify Knowledge Gap in a particular context. This dynamic knowledge profile has been designed in the presence of Intelligent agents. The Intelligent Agent will automatically collect data from a user and provide their Knowledge Status. This dynamic knowledge profile provides positive feedback after the Dataset and Algorithm Experiments on many occasions.
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基于Agent的动态知识概要框架
在本研究中,一个基于智能主体的知识概况的概念框架旨在帮助人们意识到自己的技能。它还将分析他们的技能、工具和实践,帮助他们识别技能差距(如果有的话)。这是一个基于web的平台设计。由自动机器人或智能代理通过专门设计的算法控制的完整机制和功能。在这一研究过程中,目前与动态知识剖面相关的研究很少。关于相关研究的研究论文、信息和数据的数量很难找到。我们还发现了知识概况和研究生概况之间的相似性。提出了本研究的理论框架和结构设计。此外,还提出了一种数据比较算法。基本上,这个框架提出了一些具体的组成部分。用户、智能机器人和算法这三个组件是该框架的主要支柱。预期该框架可用于在特定上下文中识别知识差距。这种动态知识概要是在智能代理存在的情况下设计的。智能代理将自动收集用户的数据,并提供他们的知识状态。经过多次数据集和算法实验,该动态知识概要提供了正反馈。
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