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首页> 外文会议>2013 8th International Conference on Information Technology in Asia : Smart Devices Trend: Technologising Future Lifestyle >Regression analysis on agent roles in personal knowledge management processes: Significance of a connect agent in mediating human's personal knowledge management
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Regression analysis on agent roles in personal knowledge management processes: Significance of a connect agent in mediating human's personal knowledge management

机译：个人知识管理过程中代理角色的回归分析：连接代理在调解人的个人知识管理中的意义

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Across the literature, there is a gradual development of research on personal knowledge management (PKM) from theoretical to technical perspective on managing personal knowledge over the computer and internet technologies. This research domain has aroused the interest of researchers in Malaysia with the introduction of a PKM model to accommodate the understanding of PKM among knowledge workers. In this model, called the GUSC model, there are four main processes, which are get knowledge, understand knowledge, share knowledge and connect to knowledge sources. This model entails four cognitive enablers that are proposed to mediate the PKM processes. This paper analyses the quantitative data on the GUSC model to further understand the roles of software agents in mediating human's PKM processes. It also analyses the role of cognitive enablers as mediating factors for the PKM processes, which are seen as potential strong notions for software agency. The results of the analysis show the significance of ‘connect’ as a role of an agent that depends on the rest of the factors. Based on the quantitative findings, it is recommended that the GUSC model is used to conceptualise an agent-based system, with cognitive enablers to determine the appropriate BDI structure for the system.
机译：在整个文献中，有关通过计算机和互联网技术管理个人知识的个人知识管理（PKM）研究从理论到技术的观点都在逐步发展。该研究领域引入了PKM模型，以适应知识工作者对PKM的理解，从而引起了马来西亚研究人员的兴趣。在这个称为GUSC模型的模型中，有四个主要过程，即获取知识，了解知识，共享知识并连接到知识源。该模型需要提出四个认知促进因素来介导PKM过程。本文分析了GUSC模型上的定量数据，以进一步了解软件代理在调解人类PKM过程中的作用。它还分析了认知促成因素作为PKM流程的中介因素的作用，这被视为软件代理的潜在强力概念。分析结果表明，“连接”作为依赖于其他因素的代理角色的重要性。基于定量结果，建议将GUSC模型用于概念化基于代理的系统，并使用认知支持因素来确定该系统的适当BDI结构。

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