e-Advisor : A Multi-agent System for Academic Advising

This paper presents an approach to tackle a dynamic and complex individualized study planning and scheduling problem utilizing multi-agent system approach and ontology-driven methodology. To support the approach a web-based multiple intelligent agents system called eAdvisor is developed and tested by users. The paper describes the various types of agents used in e-Advisor, the development of the ontologies and their applicability, system implementation issues and a preference-driven planning algorithm used by the agents. Empirical results show that the architecture and algorithm are effective.

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