AURELLIO: A Cognitive Computational Knowledge Representation Theory

AURELLIO: A Cognitive Computational Knowledge Representation Theory

Mehdi Najjar (University of Sherbrooke, Canada) and André Mayers (University of Sherbrooke, Canada)
DOI: 10.4018/jcini.2007070102
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Abstract

Encouraging results of the last few years in the field of knowledge representation within virtual learning environments confirm that artificial intelligence research in this topic finds it very beneficial to integrate the knowledge that psychological research has accumulated on understanding the cognitive mechanism of human learning and all the positive results obtained in computational modeling theories. This article introduces a novel cognitive and computational knowledge representation approach inspired by cognitive theories that explain the human cognitive activity in terms of memory subsystems and their processes, and whose aim is to suggest formal computational models of knowledge that offer efficient and expressive representation structures for virtual learning. Practical studies both contribute to validate the novel approach and permit to draw general conclusions.

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