An Intelligent Agent Based Approach to MOSAICA's Pedagogical Framework

نویسندگان

  • Nazaraf Shah
  • Jawed I. A. Siddiqi
  • Babak Akhgar
چکیده

There has been a significant amount of research in application of intelligent agent technology in virtual training and pedagogical environments. The characteristics of intelligent agents, such as flexible behaviour, autonomy and socialablity make them highly suitable candidates to overcome the shortcomings of the traditional course management systems, online learning and Web resources available to learners. In this paper we propose an agent based approach to manage virtual expeditions and learning activities in Semantically Enhanced, Multifaceted, Collaborative Access to Cultural Heritage (MOSAICA) project. We believe that Belief, Desire, Intention (BDI) model of intelligent agent better serve the pedagogical requirements identified in MOSAICA project. The cognitive characteristics of MOSAICA pedagogical framework are easy to map to mental model of BDI intelligent agents.

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تاریخ انتشار 2007