Augmented transition networks as a representation for knowledge-based history-taking system
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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 charcteristics of ATN's that facilitate the use of ATNs in interviewing systems: explicitness, hierarchical structure, and generality.
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| 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 charcteristics 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 +, Kevin Johnson +, and Lawrence M. Fagan + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-92-20 + |
| Number | KSL-92-20 + |
| Tag | Computer science + |
| Title | Augmented Transition Networks as a Representation for Knowledge-Based History-Taking System + |
| Tr id | KSL-92-20 + |
| Year | 1992 + |
