Personalized Intelligent Training on the Web: A Multi-Agent Approach
One of the most interesting realm among those ones brought up to success by the development of the Internet is distance learning and training. For this reason, the investigation for adequate architectures and platforms supporting flexible and tailored training solutions is nowadays of great interests in the scientific community. This paper is concerned with the presentation of an original architecture for intelligent distance tutoring which make use of software agents. The way in which the knowledge is represented and stored is discussed together with the ability of our system to manage individual learning paths for different users. The rationale for using Agents is presented and the implementation of the system is discussed.
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