DBLP:conf/aaai/LanglotzSF86 +, KSL-86-26 + redirect page
Using Decision Theory to Justify Heuristics + Has identifier
Using Decision Theory to Justify Heuristics + Ksl tr id
Using Decision Theory to Justify Heuristics + Number
| Using Decision Theory to Justify Heuristics |
Bibtype
techreport
Has publishing details
1986
Has title
Using Decision Theory to Justify Heuristics
Has where published
KSL-86-26
Has year
1986
Title
Using Decision Theory to Justify Heuristics
Year
1986
Abstract
We present a method for using decision the … We present a method for using decision theory to evaluate the merit of individual situation action heuristics. The design of a decision theoretic approach to the analysis of heuristics is illustrated in the context of a rule from the MYCIN system. Using calculations and plots generated by an automated decision making tool, decision theoretic insights are shown which are of practical use to the knowledge engineer. The relevance of this approach to previous discussions of heuristics is discussed. We suggest that a synthesis of artificial intelligence and decision theory will lead to enhanced system performance and an expansion of the problem solving domains in which expert systems can be used. mains in which expert systems can be used.
Note
Working Paper.
Author
Curtis Langlotz and Edward H. Shortliffe and Lawrence M. Fagan +
Has author
Curtis Langlotz and Edward H. Shortliffe and Lawrence M. Fagan +
Has identifier
Using Decision Theory to Justify Heuristics +
Institution
Knowledge Systems, AI Laboratory +
Ksl tr id
Using Decision Theory to Justify Heuristics +
Number
Using Decision Theory to Justify Heuristics +
Process note
YES +
Categories KSL Technical Report +, Publication +, Technical Report +
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