A Framework for Explaining Decision-Theoretic Advice

Citation: David A. Klein and Edward H. Shortliffe. (1991) A Framework for Explaining Decision-Theoretic Advice. In , 1991.

Publication techreport ( Edit )
type	Technical Report
bibtype	techreport
Bibtex basics
author	David A. Klein and Edward H. Shortliffe
title	A Framework for Explaining Decision-Theoretic Advice
number	KSL-91-29
institution	Knowledge Systems, AI Laboratory
year	1991
Bibtex more
note	Updated June 1994.
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abstract	We present strategies for explaining decision-theoretic choices automatically, and we describe the role of these strategies in "Interpretive Value Analysis," our broader framework for explanation and knowledge acquisition in expert systems that model tradeoff-intensive decisions. Our explanations are at once empirically motivated and formally sound with respect to decision theory, retaining the advantages of both artificial-intelligence and decision-theoretic representations for modeling decisions. We demonstrate the explanation strategies with implemented examples in the domains of marketing, process control, and medicine. Although previous approaches to modeling decisions in expert systems often have sacrificed formal specification for transparent operation, our methodology suggests that knowledge engineers can retain the benefits of decision theory without compromising intuitive explanation.

KSL Technical Report ID: KSL-91-29

Abstract	We present strategies for explaining decis … We present strategies for explaining decision-theoretic choices automatically, and we describe the role of these strategies in "Interpretive Value Analysis," our broader framework for explanation and knowledge acquisition in expert systems that model tradeoff-intensive decisions. Our explanations are at once empirically motivated and formally sound with respect to decision theory, retaining the advantages of both artificial-intelligence and decision-theoretic representations for modeling decisions. We demonstrate the explanation strategies with implemented examples in the domains of marketing, process control, and medicine. Although previous approaches to modeling decisions in expert systems often have sacrificed formal specification for transparent operation, our methodology suggests that knowledge engineers can retain the benefits of decision theory without compromising intuitive explanation. ithout compromising intuitive explanation.
Author	David A. Klein and Edward H. Shortliffe +
Bibtype	techreport +
Has author	David A. Klein and Edward H. Shortliffe +
Has identifier	KSL-91-29 +
Has publishing details	1991 +
Has title	A Framework for Explaining Decision-Theoretic Advice +
Has year	1991 +
Institution	Knowledge Systems, AI Laboratory +
Ksl tr id	KSL-91-29 +
Note	Updated June 1994. +
Number	KSL-91-29 +
Process note	YES +
Title	A Framework for Explaining Decision-Theoretic Advice +
Year	1991 +