Intelligent Tutoring Systems modelled through the mental states
This paper aims at presenting part of the work we have developed and its objective as to simulating the functioning of the changes which occur in the following mental states: belief, desire, intention and expectation of two cognitive autonomous agents during a teaching/learning interaction. The objectives of the work are to observe and to analyse the changes that occur in the mental states during an interaction between agents; to develop and to apply teaching strategies; to use the SEM (Sociedade dos Estados Mentais) agents architecture  to replace the traditional Intelligent Tutoring Systems (ITS) archicture and to build the agents models from the ITS environment. The major contribuitions of this paper are the use of teaching/learning strategies connected to the local agent's intention, to track down the changes that occur in the mental states which were analysed in certain teaching/learning situations, the use of an architecture of agents to model ITS's, the use of values to determine the urgency to fulfilling the agents' objectives.
KeywordsArchitecture for Intelligent Tutoring Systems Distributed Artificial Intelligence
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