Title :
Explanation-based learning with diagnostic models
Author :
Sheppard, John W.
Author_Institution :
ARINC Res. Corp., Annapolis, MD, USA
Abstract :
The author discusses an approach to identifying and correcting errors in diagnostic models using explanation based learning. The approach uses a model of the system to be diagnosed that may have missing information about the relationships between tests and possible diagnoses. In particular, he uses a structural model or information flow model to guide diagnosis. When misdiagnosis occurs, the model is used to determine how to search for the actual fault through additional testing. When the fault is identified, an explanation is constructed from the original misdiagnosis and the model is modified to compensate for the incorrect behavior of the system.<>
Keywords :
diagnostic expert systems; fault location; learning (artificial intelligence); compensation; diagnostic models; explanation based learning; inference rules; information flow model; misdiagnosis; structural model; Circuit faults; Error correction; Fault diagnosis; Intelligent systems; Machine learning; Medical diagnostic imaging; Military computing; Power engineering computing; Prototypes; System testing;
Conference_Titel :
AUTOTESTCON '92. IEEE Systems Readiness Technology Conference, Conference Record
Conference_Location :
Dayton, OH, USA
Print_ISBN :
0-7803-0643-0
DOI :
10.1109/AUTEST.1992.270118
