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InCA: a cognitive multi-agents architecture for designing intelligent and adaptative learning systems

Author: Nabeth, Thierry ; Razmerita, Liana ; Angehrn, Albert A. ; Roda, ClaudiaINSEAD Area: Technology and Operations ManagementIn: Computer Science, vol. 2, no. 2, December 2005 Language: EnglishDescription: p. 99-104.Type of document: INSEAD ArticleNote: Please ask us for this itemAbstract: 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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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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