AISB91 pp 160-171 | Cite as

Knowledgeable knowledge acquisition

  • Han Reichgelt
  • Nigel Shadbolt
Conference paper


In this paper we describe a system aimed at providing software support for the process of knowledge acquisition. Such support comprises a workbench incorporating a number of knowledge acquisition tools; knowledge elicitation techniques such as sorting and rating methods, together with machine learning techniques. The paper discusses the various problems raised by this work. These include; defining an adequate view of the general acquisition process, developing an appropriate implementation architecture, directing knowledge acquisition via knowledge level models and producing a sufficiently powerful representation language to integrate the results of acquisition. Finally we describe the limitations of our current system and future developments in our work.


Knowledge Acquisition Theorem Prover Knowledge Engineer Application Knowledge Intended Interpretation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London Limited 1991

Authors and Affiliations

  • Han Reichgelt
    • 1
  • Nigel Shadbolt
    • 1
  1. 1.Artificial Intelligence Group Department of PsychologyUniversity of NottinghamNottinghamUK

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