InCA: a Cognitive Multi-Agents Architecture for Designing Intelligent & Adaptive Learning Systems

نویسندگان

  • Thierry Nabeth
  • Albert A. Angehrn
  • Liana Razmerita
  • Claudia Roda
چکیده

This paper presents a cognitive multi-agents architecture called Intelligent Cognitive Agents (InCA) that was elaborated for the design of Intelligent Adaptive Learning Systems. The InCA architecture relies on a personal agent that is aware of the user’s characteristics, and that coordinates the intervention of a set of expert cognitive agents (such as story telling agents, assessment agents, stimulation agents or help agents). This InCA architecture has been applied for the design of K-InCA, an e-learning system aimed at helping people to learn and adopt knowledge-sharing management practices.

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عنوان ژورنال:
  • Comput. Sci. Inf. Syst.

دوره 2  شماره 

صفحات  -

تاریخ انتشار 2005