Abstract
The low-level universal inference operations, indifferent to knowledge substances, and higher-level task specific macro-operations for competent expert system performance are addressed. The latter ones are credited as vital and essential knowledge complements. In this respect generic reasoning templates — prescriptions related to declarative knowledge — assøciated in lines of reasoning are pointed out. The discussion with regard to disclosing corresponding operational patterns is followed by some illustrating examples.
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References
D.C. Brown, B. Chandrasekaran: Design problem solving. San Mateo: Morgan Kaufmann 1989
W. J. Clancey, M. Barbanson: Using the System-Model-Operator Metaphor for Knowledge Acquisition. IEEE Expert October 1991, 61–65 (1991)
K.C. Lun et al. (eds.): Proc. MEDINFO. Amsterdam: North-Holland 1992
RA. Miller, F.E. Masarie Jr.: The Quick Medical Reference Relation Function: Description and Evaluation of a Simple, Efficient “Multiple Diagnoses” Algorithm. In [3], pp. 512–518
S.M. Narayan et al.: Lines and Patterns of Reasoning: New Units of Analysis for Clinical Decision Making. In [3], p. 426
M. Popper, M. Hauskrecht: Declarative and Operational in Knowledge Based Systems. In: K.P. Adlassnig, G. Grabner (eds.): Lecture Notes in Medical Informatics 45. Berlin: Springer 1991, pp. 299–303
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© 1993 Springer-Verlag Berlin Heidelberg
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Popper, M. (1993). From low-level to high-level operations in expert systems. In: Mařík, V., Lažanský, J., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 1993. Lecture Notes in Computer Science, vol 720. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57234-1_40
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DOI: https://doi.org/10.1007/3-540-57234-1_40
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