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Irish Conference on Artificial Intelligence and Cognitive Science

AICS 2002: Artificial Intelligence and Cognitive Science pp 221–227Cite as

An Interactive Learning Environment for Knowledge Engineering

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2464))

Abstract

While the importance of verification and validation (V&V) techniques in knowledge-based systems (KBS) development is well recognised, little attention (if any) has been paid to their potential role in the context of artificial intelligence teaching. We present an interactive learning environment that aims to promote independent learning by students undertaking knowledgeengineering assignments. An innovative feature of the approach is the use of V&V techniques to provide automated feedback to students prior to submission of coursework.

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References

  1. Gonzalez, A., Dankel, D.: The Engineering of Knowledge-Based Systems: Theory and Practice. Prentice-Hall, Englewood Cliffs, New Jersey (1993)

    MATH  Google Scholar 

  2. Preece, A.: Building the Right System Right: Evaluating V&V Methods in Knowledge Engineering. Expert Update 1 (1998) 26–34

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  3. Cendrowska, J.: PRISM: an Algorithm for Inducing Modular Rules. International Journal of Man-Machine Studies 27 (1987) 349–370

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  4. McSherry, D., Fullerton, K.: Intermediate Representation of Knowledge in the Development of a Medical Expert System. Biomedical Measurement Informatics and Control 1 (1986) 75–82

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Author information

Authors and Affiliations

  1. School of Information and Software Engineering, University of Ulster, BT52 1SA, Coleraine, Northern Ireland

    David McSherry

Authors
  1. David McSherry
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Systems, University of Limerick, Ireland

    Michael O’Neill , Richard F. E. Sutcliffe , Conor Ryan , Malachy Eaton  & Niall J. L. Griffith , , ,  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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McSherry, D. (2002). An Interactive Learning Environment for Knowledge Engineering. In: O’Neill, M., Sutcliffe, R.F.E., Ryan, C., Eaton, M., Griffith, N.J.L. (eds) Artificial Intelligence and Cognitive Science. AICS 2002. Lecture Notes in Computer Science(), vol 2464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45750-X_30

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  • DOI: https://doi.org/10.1007/3-540-45750-X_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44184-7

  • Online ISBN: 978-3-540-45750-3

  • eBook Packages: Springer Book Archive

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