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INCA: A cognitive multi-agents architecture for designing intelligent & adaptive learning systems

Nabeth Thierry (Thierry Nabeth, Albert Angehrn - INSEAD -Centre for Advanced Learning Technologies, Fontainebleau Cedex, France)
Razmerita Liana (INRIA, Sophia Antipolis, France)
Angehrn Albert (Thierry Nabeth, Albert Angehrn - INSEAD -Centre for Advanced Learning Technologies, Fontainebleau Cedex, France)
Roda Claudia (American University of Paris, Paris, France)

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.