A multiagent architecture for distance education systems

We describe a multiagent architecture for Web-based distance education systems that presents characteristics of intelligence and adaptability. This architecture is based on techniques of distributed artificial intelligence, planning and intelligent tutoring systems. As a result, the system allows adaptation of a given course to different types of students.