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The multi-agent systems (MAS) are a part of artificial intelligence (AI), they have emerged today in the development of major e-learning platforms. Their integration has given new impetus to learning environments by the possibility of integrating new parameters (psychological, pedagogical, ergonomic...) favoring a better adaptation to the learner. In addition, the multiagent approach offers the possibility to design flexible solutions based on a set of agents which are in continuousdoi:10.3991/ijet.v14i14.10362 fatcat:cjmudbggjncbjmquvtcq2corhe