MASACAD: A Multi-Agent System for Academic Advising

Abstract

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 problems in relationship to information customization systems and smooth the way for possible solutions. The main idea is to approach information customization using a multi-agent paradigm.