TY - GEN
T1 - New techniques in model-based diagnosis
AU - Struss, Peter
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1990.
PY - 1990
Y1 - 1990
N2 - For about a decade, model-based reasoning has been investigated by AI research. In particular diagnosis of technical devices requires explicitly representing principal knowledge about the structure and behavior of the device to be diagnosed and its components. The General Diagnostic Engine (GDE) introduced by J. de Kleer and B. Williams is probably the most promising approach to model-based diagnosis. This paper discusses problems emerging from case studies based on GDE carried out by the Advanced Reasoning Methods group at SIEMENS. In particular, questions of handling devices with many components, reasoning about device behavior over time, exploiting multiple tests and knowledge about faults, and dealing with uncertain measurements are raised. Based on extensions to GDE, at least partial solutions to these problems have been achieved, making real applications of this approach become more feasible.
AB - For about a decade, model-based reasoning has been investigated by AI research. In particular diagnosis of technical devices requires explicitly representing principal knowledge about the structure and behavior of the device to be diagnosed and its components. The General Diagnostic Engine (GDE) introduced by J. de Kleer and B. Williams is probably the most promising approach to model-based diagnosis. This paper discusses problems emerging from case studies based on GDE carried out by the Advanced Reasoning Methods group at SIEMENS. In particular, questions of handling devices with many components, reasoning about device behavior over time, exploiting multiple tests and knowledge about faults, and dealing with uncertain measurements are raised. Based on extensions to GDE, at least partial solutions to these problems have been achieved, making real applications of this approach become more feasible.
UR - http://www.scopus.com/inward/record.url?scp=84951578325&partnerID=8YFLogxK
U2 - 10.1007/BFb0018400
DO - 10.1007/BFb0018400
M3 - Conference contribution
AN - SCOPUS:84951578325
SN - 9783540528500
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 428
EP - 437
BT - Knowledge Based Computer Systems - International Conference KBCS 1989, Proceedings
A2 - Ramani, S.
A2 - Chandrasekar, R.
A2 - Anjaneyulu, K.S.R.
PB - Springer Verlag
T2 - 2nd International Conference on Knowledge Based Computer Systems, KBCS 1989
Y2 - 11 December 1989 through 13 December 1989
ER -