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Constructing an expert system—software engineering of a different kind
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Source ACM Annual Computer Science Conference archive
Proceedings of the 1988 ACM sixteenth annual conference on Computer science table of contents
Atlanta, Georgia, United States
Pages: 223 - 231  
Year of Publication: 1988
ISBN:0-89791-260-8
Authors
Gerard Kiernan  Manhattanville College, Department of Mathematics and Computer Science, Purchase, New York
Arnold Koltun  Manhattanville College, Department of Mathematics and Computer Science, Purchase, New York
Edward N. Schwartz  Manhattanville College, Department of Mathematics and Computer Science, Purchase, New York
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

The knowledge engineering and software development tasks involved in constructing software for an expert system are very different from the task of designing an imperative program. Some of the problems in the construction of a rule based expert system include deducing the heuristics of the expert, converting these heuristics into a working taxonomy and rule base, and ordering the rule base so that the system performs efficiently and correctly. We will describe a pictorial method of knowledge representation that we call a “k-tree” and a method of structuring the rule base using what we call “question lattices” that we have found greatly facilitates these tasks.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Davis, R. Buchanan, B, Shortlif~e, E. "Production Rules as a Representation ~or a Know!edge-Basect Consui+~ation Program" pp. 15-45 Artificial Intel I igence v 30 n 2 Feb. 1976
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Schooman, H. Software Engineering, HcGraw-Hi 11 Book Company, New YOrK t965


Collaborative Colleagues:
Gerard Kiernan: colleagues
Arnold Koltun: colleagues
Edward N. Schwartz: colleagues