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A three-stage knowledge acquisition method

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Abstract

This paper presents and analyzes three fundamental problems in knowledge acquisition, and proposes a general method for tackling them. The method divides the whole process of knowledge acquisition into a set of almost independent pieces, each of which can be finished by knowledge engineers, experts and assistants, respectively.

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References

  1. Cao Cungen. Conceptual knowledge acquisition: A multi-expert approach. InProc. Pacific RIM Conference on Artificial Intelligence, Vol. 1, pp. 467–472, 1994.

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Authors and Affiliations

  1. National Research Center for Intelligent Computing Systems, P.O. Box 2704, 100080, Beijing

    Cao Cungen

  2. Department of Mathematics, Yunnan Normal University, 650092, Kunming

    Liu Wei

Authors
  1. Cao Cungen
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  2. Liu Wei
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Additional information

Cao Cungen received his Ph.D. degree in theoretical computer science from Institute of Mathematics, The Chinese Academy of Science in 1993. His research interests include AI, multiagent systems and Petri net.

Liu Wei received her M.S. degree in distributed database systems from Institute of Mathematics, The chinese Academy of Science in 1987. She is a lecturer of Department of Mathematics at Yunnan Normal University. Her main interests include knowledge engineering and database systems.

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Cao, C., Liu, W. A three-stage knowledge acquisition method. J. of Compt. Sci. & Technol. 10, 274–280 (1995). https://doi.org/10.1007/BF02943495

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  • DOI: https://doi.org/10.1007/BF02943495

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