KSL-86-27 + redirect page
The Science and Engineering of Qualitative Models + Has identifier
The Science and Engineering of Qualitative Models + Ksl tr id
The Science and Engineering of Qualitative Models + Number
| The Science and Engineering of Qualitative Models |
Bibtype
techreport
Has publishing details
1986
Has title
The Science and Engineering of Qualitative Models
Has where published
KSL-86-27
Has year
1986
Title
The Science and Engineering of Qualitative Models
Year
1986
Abstract
The concept of a qualitative model provide … The concept of a qualitative model provides a unifying perspective for understanding how expert systems differ from conventional programs. Knowledge bases contain qualitative models of systems in the world, that is, primarily non-numeric descriptions that provide a basis for explaining and predicting behavior and formulating action plans. The prevalent view that a qualitative model must be a simulation, to the exclusion of prototypic and behavioral descriptions, has fragmented our field, so that we have failed to usefully synthesize what we have learned about modeling processes. For example, our ideas about "scoring functions" and "causal network traversal," developed apart from a modeling perspective, have obscured the inherent explanatory nature of diagnosis. While knowledge engineering has greatly benefited from the study of human experts as a means of informing model construction, overemphasis on modeling the expert's knowledge has detracted from the primary objective of modeling a system in the world. Placing AI squarely in the evolutionary line of teleologic and topologic modeling, this paper argues that the study of network representations has established a foundation for a science and engineering of qualitative models. nce and engineering of qualitative models.
Note
STAN-CS-87-1170.
Author
William J. Clancey +
Has author
William J. Clancey +
Has identifier
The Science and Engineering of Qualitative Models +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
The Science and Engineering of Qualitative Models +
Number
The Science and Engineering of Qualitative Models +
Process note
YES +
Categories KSL Technical Report +, Publication +, Technical Report +
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