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A strategy for design and development of complex knowledge-systems

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Trends in Artificial Intelligence (AI*IA 1991)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 549))

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Abstract

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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References

  1. “Towards a taxonomy of problem-solving types”. Chandrasekaran, B. in AI Magazine, Vol. 4 nr. 1

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  2. “NOBILE: An Object-Based User Model Acquisition Shell”. Cheli, E. & McIntyre, A. Proceedings of ‘Delta & Beyond’ Conference. Den Haag, The Netherlands, October 1990. (forthcoming)

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  3. [Nat*Lab 91] “A Methodology for Student Model Acquisition”, Nat*Lab Consortium, Deliverable ND/8 CEC DELTA Nat*Lab project, April 1991

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  4. “First generation expert systems: a review of knowledge acquisition”. Neale, I. in ‘The Knowledge Engineering Review', vol.3 no.2, 1988.

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  5. “Components of Expertise”, Steels, L. AI Magazine, Summer 1990

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Edoardo Ardizzone Salvatore Gaglio Filippo Sorbello

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© 1991 Springer-Verlag Berlin Heidelberg

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McIntyre, A. (1991). A strategy for design and development of complex knowledge-systems. In: Ardizzone, E., Gaglio, S., Sorbello, F. (eds) Trends in Artificial Intelligence. AI*IA 1991. Lecture Notes in Computer Science, vol 549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54712-6_257

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  • DOI: https://doi.org/10.1007/3-540-54712-6_257

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54712-9

  • Online ISBN: 978-3-540-46443-3

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