The Compilation of Decision Models

Citation: David Heckerman and John S. Breese and Eric Horvitz. (1989) The Compilation of Decision Models. In KSL-89-58, 1989.

Publication techreport ( Edit )
type	Technical Report
bibtype	techreport
Bibtex basics
author	David Heckerman and John S. Breese and Eric Horvitz
title	The Compilation of Decision Models
number	KSL-89-58
institution	Knowledge Systems, AI Laboratory
year	1989
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abstract	We introduce and analyze the problem of the compilation of decision models from a decision-theoretic perspective. The techniques described allow us to evaluate various configurations of compiled knowledge given the nature of evidential relationships in a domain, the utilities associated with alternative actions, the costs of run-time delays, and the costs of memory. We describe procedures for selecting a subset of the total observations available to be incorporated into a compiled situation-action mapping, in the context of a binary decision with conditional independence of evidence. The methods allow us to incrementally select the best pieces of evidence to add to the set of compiled knowledge in an engineering setting. After presenting several approaches to compilation, we exercise one of the methods to provide insight into the relationship between the distribution over weights of evidence and the preferred degree of compilation.

KSL Technical Report ID: KSL-89-58

Abstract	We introduce and analyze the problem of th … We introduce and analyze the problem of the compilation of decision models from a decision-theoretic perspective. The techniques described allow us to evaluate various configurations of compiled knowledge given the nature of evidential relationships in a domain, the utilities associated with alternative actions, the costs of run-time delays, and the costs of memory. We describe procedures for selecting a subset of the total observations available to be incorporated into a compiled situation-action mapping, in the context of a binary decision with conditional independence of evidence. The methods allow us to incrementally select the best pieces of evidence to add to the set of compiled knowledge in an engineering setting. After presenting several approaches to compilation, we exercise one of the methods to provide insight into the relationship between the distribution over weights of evidence and the preferred degree of compilation. e and the preferred degree of compilation.
Author	David Heckerman and John S. Breese and Eric Horvitz +
Bibtype	techreport +
Has author	David Heckerman and John S. Breese and Eric Horvitz +
Has identifier	KSL-89-58 +
Has publishing details	1989 +
Has title	The Compilation of Decision Models +
Has where published	KSL-89-58 +
Has year	1989 +
Institution	Knowledge Systems, AI Laboratory +
Ksl tr id	KSL-89-58 +
Number	KSL-89-58 +
Process note	YES +
Title	The Compilation of Decision Models +
Year	1989 +