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Empirical Analysis and Refinement of Expert System Knowledge Bases

  • Sholom M. Weiss
  • Peter Politakis
  • Allen Ginsberg
Part of the Computers and Medicine book series (C+M)

Abstract

Based on encouraging results in well circumscribed applications, researchers often propose ambitious projects to build expert systems for highly complex tasks, requiring many thousands of reasoning rules. The paradigm for designing these systems runs mainly along the lines of current expert system conventions: Knowledge engineers construct knowledge bases based on information gleaned from experts and other sources of information. In the larger, more complex applications, we can expect to have many knowledge engineers constructing a single knowledge base from multiple sources of information, with the involvement of numerous experts.

Keywords

Knowledge Base Expert System Heuristic Rule Mixed Connective Tissue Disease Rule Refinement 
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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References

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Copyright information

© Springer-Verlag New York Inc. 1988

Authors and Affiliations

  • Sholom M. Weiss
  • Peter Politakis
  • Allen Ginsberg

There are no affiliations available

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