A strategy for design and development of complex knowledge-systems

  • Angus McIntyre
Short Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 549)


The full approach as presented here exists only at a theoretical stage, although it is founded in the concrete work done on communicating agents and role-reversal in the Nat*Lab project, and in particular on experience gained during the implementation of the “NOBILE” prototype [McIntyre & Cheli 90]. Nevertheless, it appears to represent a promising possible line of research, in that it offers a means of acquiring knowledge from experts within the context of familiar yet highly-structured activities, and allows the knowledge acquired to be automatically organised in a structured fashion, suitable for subsequent implementation in a knowledge-representation formalism.


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    “Towards a taxonomy of problem-solving types”. Chandrasekaran, B. in AI Magazine, Vol. 4 nr. 1Google Scholar
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    “NOBILE: An Object-Based User Model Acquisition Shell”. Cheli, E. & McIntyre, A. Proceedings of ‘Delta & Beyond’ Conference. Den Haag, The Netherlands, October 1990. (forthcoming)Google Scholar
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    [Nat*Lab 91] “A Methodology for Student Model Acquisition”, Nat*Lab Consortium, Deliverable ND/8 CEC DELTA Nat*Lab project, April 1991Google Scholar
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    “First generation expert systems: a review of knowledge acquisition”. Neale, I. in ‘The Knowledge Engineering Review', vol.3 no.2, 1988.Google Scholar
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    “Components of Expertise”, Steels, L. AI Magazine, Summer 1990Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Angus McIntyre
    • 1
  1. 1.Knowledge Technologies N.V.BrusselsBelgium

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