MASACAD: A Learning Multi-Agent System that Mines the Web to Advise Students
نویسنده
چکیده
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.
منابع مشابه
A Multi-Agent System for Academic Advising
The evolution of the Internet into the Global Information Infrastructure has led to an explosion in the amount of available information. Realizing the vision of distributed knowledge access in this scenario and its future evolution will need tools to customize the information space. In this article we present MASACAD, a multi-agent system that learns to advise students and discuss important pro...
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تاریخ انتشار 2004