Construction of Normative Decision Models Using Abstract Graph Grammars

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Citation: John W. Egar. (1994) Construction of Normative Decision Models Using Abstract Graph Grammars. In KSL-94-17, 1994.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author John W. Egar
title Construction of Normative Decision Models Using Abstract Graph Grammars
number KSL-94-17
institution Stanford University
address Stanford, CA, USA
year 1994
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abstract This dissertation addresses automated assistance for decision analysis in medicine. In particular, I have investigated graph grammars as a representation for encoding how decision-theoretic models can be constructed from an unordered list of concerns. The modeling system that I have used requires a standard vocabulary to generate decision models; the models generated are qualitative, and require subsequent assessment of probabilities and utility values. This research has focused on the modeling of the qualitative structure of problems given a standard vocabulary and given that subsequent assessment of probabilities and utilities is possible. The usefulness of the graph-grammar representation depends on the graph-grammar formalism's ability to describe a broad spectrum of qualitative decision models, on its ability to maintain a high quality in the models it generates,and on its clarity in describing topological constraints to researchers who design and maintain the actual grammar. I have found that graph grammars can be used to generate automatically decision models that are comparable to those produced by decision analysts.

KSL Technical Report ID: KSL-94-17
Facts about Construction of Normative Decision Models Using Abstract Graph GrammarsRDF feed
Abstract This dissertation addresses automated assi … This dissertation addresses automated assistance for decision analysis in medicine. In particular, I have investigated graph grammars as a representation for encoding how decision-theoretic models can be constructed from an unordered list of concerns. The modeling system that I have used requires a standard vocabulary to generate decision models; the models generated are qualitative, and require subsequent assessment of probabilities and utility values. This research has focused on the modeling of the qualitative structure of problems given a standard vocabulary and given that subsequent assessment of probabilities and utilities is possible. The usefulness of the graph-grammar representation depends on the graph-grammar formalism's ability to describe a broad spectrum of qualitative decision models, on its ability to maintain a high quality in the models it generates,and on its clarity in describing topological constraints to researchers who design and maintain the actual grammar. I have found that graph grammars can be used to generate automatically decision models that are comparable to those produced by decision analysts. le to those produced by decision analysts.
Address Stanford, CA, USA  +
Author John W. Egar  +
Bibtype techreport  +
Has author John W. Egar  +
Has identifier KSL-94-17  +
Has publishing details 1994  +
Has title Construction of Normative Decision Models Using Abstract Graph Grammars  +
Has where published KSL-94-17  +
Has year 1994  +
Institution Stanford University  +
Ksl tr id KSL-94-17  +
Number KSL-94-17  +
Process note NO  +
Title Construction of Normative Decision Models Using Abstract Graph Grammars  +
Year 1994  +
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