UDC 004.2

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

Thierry Nabeth1, Albert Angehrn1, Liana Razmerita2 and Claudia Roda3

  1. Centre for Advanced Learning Technologies, INSEAD, Bvd de Constance
    77305 Fontainebleau Cedex, France
    {thierry.nabeth, albert.angehrn}@insead.edu
  2. INRIA
    2004 route des lucioles - BP 93 FR-06902 Sophia Antipolis, France
    liana.razmerita@inria.fr
  3. American University of Paris
    147, Rue de Grenelle, 75007 Paris, France
    croda@aup.fr

Abstract

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.

Publication information

Volume 2, Issue 2 (December 2005)
Year of Publication: 2005
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Nabeth, T., Angehrn, A., Razmerita, L., Roda, C.: InCA: a Cognitive Multi-Agents Architecture for Designing Intelligent & Adaptive Learning Systems. Computer Science and Information Systems, Vol. 2, No. 2, 99-114. (2005)