Augmented Transition Networks as a Representation for Knowledge-Based History-Taking System

Citation: Alex Poon and Kevin Johnson and Lawrence M. Fagan. (1992) Augmented Transition Networks as a Representation for Knowledge-Based History-Taking System. In KSL-92-20, 1992.

Publication techreport ( Edit )
type	Technical Report
bibtype	techreport
Bibtex basics
author	Alex Poon and Kevin Johnson and Lawrence M. Fagan
title	Augmented Transition Networks as a Representation for Knowledge-Based History-Taking System
number	KSL-92-20
institution	Knowledge Systems, AI Laboratory
address	Washington, D.C.
year	1992
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abstract	Numerous history-taking systems have been built to automate the medical history-taking process. These systems differ in their control methods, input and output modalities, and kinds of questions asked. Thus, there has emerged no standard way of representing interviewing knowledge-the expert knowledge used to govern the sequence of questions asked in an interview. This paper discusses how we use an augmented transition network (ATN) to represent the knowledge of a speech-driven automated history-taking program, Q-MED, and how, more generally, ATNs could be used as a representation for any knowledge-based history-taking system. We identify three characteristics of ATN's that facilitate the use of ATNs in interviewing systems: explicitness, hierarchical structure, and generality.

KSL Technical Report ID: KSL-92-20

Abstract	Numerous history-taking systems have been … Numerous history-taking systems have been built to automate the medical history-taking process. These systems differ in their control methods, input and output modalities, and kinds of questions asked. Thus, there has emerged no standard way of representing interviewing knowledge-the expert knowledge used to govern the sequence of questions asked in an interview. This paper discusses how we use an augmented transition network (ATN) to represent the knowledge of a speech-driven automated history-taking program, Q-MED, and how, more generally, ATNs could be used as a representation for any knowledge-based history-taking system. We identify three characteristics of ATN's that facilitate the use of ATNs in interviewing systems: explicitness, hierarchical structure, and generality. s, hierarchical structure, and generality.
Address	Washington, D.C. +
Author	Alex Poon and Kevin Johnson and Lawrence M. Fagan +
Bibtype	techreport +
Has author	Alex Poon and Kevin Johnson and Lawrence M. Fagan +
Has identifier	KSL-92-20 +
Has publishing details	1992 +
Has title	Augmented Transition Networks as a Representation for Knowledge-Based History-Taking System +
Has where published	KSL-92-20 +
Has year	1992 +
Institution	Knowledge Systems, AI Laboratory +
Ksl tr id	KSL-92-20 +
Number	KSL-92-20 +
Process note	YES +
Title	Augmented Transition Networks as a Representation for Knowledge-Based History-Taking System +
Year	1992 +