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Title: Intelligent dynamic case-based reasoning using multi-agents system in adaptive e-service, e-commerce and e-learning systems
Authors: El Mokhtar En-Naimi; Abdelhamid Zouhair
Department of Computer Science, The University of Abdelmalek Essaâdi, FST of Tangier, BP 416, 90 000, Tangier, Morocco
LITIS (Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes), The University of Le Havre, 25, rue Ph. Lebon, 76600, Le Havre, France
Abstract: In this paper, we present our approach in the field of case-based reasoning (CBR). This approach is based on the reuse of previous traces that are similar to the current situation in a dynamic way. Several approaches have been used in this area, but they suffer from some limitations in automated real-time management dynamic parameters. We propose a generic approach multi-agent multi-layer able to learn automatically from their experiences. This approach involves (1) the use of incremental dynamic case-based reasoning (IDCBR) able to study dynamic situations (recognition, prediction and learning situations); (2) the use of multi-agents system and (3) the use of the user traces. When interacting with the platform such as e-service, e-learning, e-business and e-commerce, every user leaves his or her traces in the machine. The traces are stored in database, this operation enriches collective past experiences. Via monitoring, comparing and analysing these traces, the system keeps a constant intelligent watch on the platform.
Keywords: MAS; multi-agent systems; agent-based systems; incremental CBR; dynamic CBR; case-based reasoning; similarity measure; traces; e-services; e-learning; e-commerce; electronic services; electronic commerce; electronic learning; online learning; online services.
Int. J. of Knowledge and Learning, 2016 Vol.11, No.1, pp.42 - 57
Submission date: 25 Jul 2015
Date of acceptance: 23 Feb 2016
Available online: 29 Aug 2016