Abstract
In this paper we discuss the technique of knowledge integration and which can be exploited in intelligent teaching systems (ITS) working in noisy domains. As several different formalizations can usually be found, it is difficult to determine which formalization is right and hence rely on an in-built formalization which enables it to identify students’ errors. In our view this problem can be resolved by employing the method of knowledge integration. The method enables us to identify those parts of students’ knowledge that would improve (or impair) overall performance. It is thus possible to avoid the usual trap that some systems fall into. They try to correct the student regardless whether their knowledge exceeds the tutor’s!
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© 1992 Springer-Verlag Berlin Heidelberg
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Brazdil, P.B. (1992). Integration of Knowledge in Multi-Agent Environments. In: Costa, E. (eds) New Directions for Intelligent Tutoring Systems. NATO ASI Series, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77681-6_16
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DOI: https://doi.org/10.1007/978-3-642-77681-6_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-77683-0
Online ISBN: 978-3-642-77681-6
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