Geodesic
InCA: a Cognitive Multi-Agents Architecture for Designing Intelligent Adaptive Learning Systems
Computer Science and Information Systems, Tome 2 (2005) no. 2.

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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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     author = {Thierry Nabeth and Albert Angehrn and Liana Razmerita and Claudia Roda},
     title = {InCA: a {Cognitive} {Multi-Agents} {Architecture} for {Designing} {Intelligent} & {Adaptive} {Learning} {Systems}},
     journal = {Computer Science and Information Systems},
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     url = {http://geodesic.mathdoc.fr/item/CSIS_2005_2_2_a6/}
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Thierry Nabeth; Albert Angehrn; Liana Razmerita; Claudia Roda. InCA: a Cognitive Multi-Agents Architecture for Designing Intelligent & Adaptive Learning Systems. Computer Science and Information Systems, Tome 2 (2005) no. 2. http://geodesic.mathdoc.fr/item/CSIS_2005_2_2_a6/