Using Decision Theory to Justify Heuristics
From Tetherless World Wiki
Citation: Curtis Langlotz and Edward H. Shortliffe and Lawrence M. Fagan. (1986) Using Decision Theory to Justify Heuristics. In KSL-86-26, 1986.
| Publication techreport ( Edit ) | |
| type | Technical Report |
| bibtype | techreport |
| Bibtex basics | |
| author | Curtis Langlotz and Edward H. Shortliffe and Lawrence M. Fagan |
| title | Using Decision Theory to Justify Heuristics |
| number | KSL-86-26 |
| institution | Knowledge Systems, AI Laboratory |
| year | 1986 |
| Bibtex more | |
| note | Working Paper. |
| Access Paper | |
| abstract | 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. |
| KSL Technical Report ID: KSL-86-26 |
Facts about Using Decision Theory to Justify HeuristicsRDF feed
| 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. |
| Author | Curtis Langlotz and Edward H. Shortliffe and Lawrence M. Fagan + |
| Bibtype | techreport + |
| Has author | Curtis Langlotz and Edward H. Shortliffe and Lawrence M. Fagan + |
| Has identifier | KSL-86-26 + |
| Has publishing details | 1986 + |
| Has title | Using Decision Theory to Justify Heuristics + |
| Has where published | KSL-86-26 + |
| Has year | 1986 + |
| Institution | Knowledge Systems, AI Laboratory + |
| Ksl tr id | KSL-86-26 + |
| Note | Working Paper. |
| Number | KSL-86-26 + |
| Process note | YES + |
| Title | Using Decision Theory to Justify Heuristics + |
| Year | 1986 + |
Resource > Thing > Entity > Document > Scientific Document > Publication
Resource > Thing > Entity > Document > Scientific Document > Publication > Technical Report
Resource > Thing > Entity > Document > Scientific Document > Publication > Technical Report > KSL Technical Report
