Graph-Grammar Assistance for Automated Generation of Influence Diagrams

Citation: John W. Egar and Mark A. Musen. (1994) Graph-Grammar Assistance for Automated Generation of Influence Diagrams. In KSL-93-42, 1994.

Publication techreport ( Edit )
type	Technical Report
bibtype	techreport
Bibtex basics
author	John W. Egar and Mark A. Musen
title	Graph-Grammar Assistance for Automated Generation of Influence Diagrams
number	KSL-93-42
institution	Knowledge Systems, AI Laboratory
year	1994
Bibtex more
note	Updated November 1994 Update submitted to KSL March 1995.
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abstract	One of the most difficult aspects of modeling complex dilemmas in decision-analytic terms is composing a diagram of relevance relations from a set of domain concepts. Decision models in domains such as medicine, however, exhibit certain prototypical patterns that can guide the modeling process. Medical concepts can be classified according to semantic types that have characteristic positions and typical roles in an influence-diagram model. We have developed a graph-grammar production system that uses such inherent interrelationships among medical terms to facilitate the modeling of medical decisions. Our findings suggest that similar syntactic patterns can also lead to automated construction of decision models in domains other than medicine.

KSL Technical Report ID: KSL-93-42

Abstract	One of the most difficult aspects of model … One of the most difficult aspects of modeling complex dilemmas in decision-analytic terms is composing a diagram of relevance relations from a set of domain concepts. Decision models in domains such as medicine, however, exhibit certain prototypical patterns that can guide the modeling process. Medical concepts can be classified according to semantic types that have characteristic positions and typical roles in an influence-diagram model. We have developed a graph-grammar production system that uses such inherent interrelationships among medical terms to facilitate the modeling of medical decisions. Our findings suggest that similar syntactic patterns can also lead to automated construction of decision models in domains other than medicine. ion models in domains other than medicine.
Author	John W. Egar and Mark A. Musen +
Bibtype	techreport +
Has author	John W. Egar and Mark A. Musen +
Has identifier	KSL-93-42 +
Has publishing details	1994 +
Has title	Graph-Grammar Assistance for Automated Generation of Influence Diagrams +
Has where published	KSL-93-42 +
Has year	1994 +
Institution	Knowledge Systems, AI Laboratory +
Ksl tr id	KSL-93-42 +
Note	Updated November 1994 Update submitted to KSL March 1995.
Number	KSL-93-42 +
Process note	YES +
Title	Graph-Grammar Assistance for Automated Generation of Influence Diagrams +
Year	1994 +