MASACAD: A Learning Multi-Agent System that Mines the Web to Advise Students.
Mohamed Salah Hamdi · International Conference on Internet Computing · 2004
In this paper we present a Multi-Agent learning system that assists students in Academic Advising (MASACAD). This system addresses information customization using a multi-agent paradigm in combination with other system components that include machine learning, user modeling, and Web mining. Preliminary testing of this system indicates significant feasibility in the development of systems based upon information customization.