Deploying the Concept of Agents of Things for Social Intelligence in Knowledge Management

Recent studies have shown that agent-based knowledge management (KM) systems have evolved into a more discrete perspective, known as personal knowledge management (PKM) that are rife within the social networks. The use of intelligent software agents has given way for new conceptual models to appear, utilising the belief-desireintention (BDI) architecture of having goals and tasks that are aligned with each other. In one PKM model, the concept is illustrated as cognitive enablers, which are the drivers of a PKM’s get, understand, share and connect (GUSC) processes. Furthering this development, this paper conceptualises a 3D framework of Detect-Determine-Direct, in which agents are designed to mediate the tasks of knowledge mapping in manifesting social intelligence within a social network. The conceptual model is developed based on a questionnaire survey conducted among final year students of a Malaysian university. This 3D framework portrays the intelligent nodal entities of Agents of Things (AoT). Keywords-personal knowledge management; software agent; nodal approach; social network; cognitive enablers; GUSC model; agents of things