Abstract
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.
This is a preview of subscription content, log in via an institution.
Preview
Unable to display preview. Download preview PDF.
References
Davis, R., Expert Systems: Where Are We? And Where Do We Go From Here?, The AI Magazine, Spring 1982
de Kleer, J., An Assumption-Based TMS, Artificial Intelligence 28(2), 1986
de Kleer, J., Williams, B.C., Diagnosing Multiple Faults, Artificial Intelligence 32(1), 1987
de Kleer, J., Williams, B.C., Diagnosis with Behavioral Modes, Proceedings IJCAI-89
Dressler, O., Farquhar, A., Problem Solver Control over the ATMS, Proceedings GWAI-89
Dressler, O., Freitag, H., Propagation of Temporally Indexed Values in Multiple Contexts, Proceedings GWAI-89
Farquhar, A., Modifying Models during Diagnosis, Proceedings GWAI-89
Hamscher, W., Model-Based Troubleshooting of Digital Circuits, MIT-TR 1074, 1988
Raiman, O., Diagnosis as a Trial: The Alibi Principle, IBM Scientific Center, 1989
Struss, P., Multiple Representation of Structure and Function, in: J. Gero (ed.), Expert Systems in Computer-Aided Design, Amsterdam 1987
Struss, P., Extensions to ATMS-Based Diagnosis, in: J.S. Gero (ed.), Artificial Intelligence in Engineering: Diagnosis and Learning, Southampton, 1988
Struss, P., A Framework for Model-Based Diagnosis, Siemens Technical Report INF 2 ARM-10-88, Munich, 1988
Struss, P., Diagnosis as a Process, Workshop on Model-Based Diagnosis, Paris, 1989
Struss, P., Model-Based Diagnosis — Recent Advances and Perspectives, Siemens Technical Report INF 2 ARM-16-89, Munich, 1989
Struss, P., Dressler, O., “Physical Negation” — Integrating Fault Models into the General Diagnostic Engine, Proceedings IJCAI-89
Williams, B., Doing Time: Putting Qualitative Reasoning on Firmer Ground, Proceedings AAAI-86
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1990 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Struss, P. (1990). New techniques in model-based diagnosis. In: Ramani, S., Chandrasekar, R., Anjaneyulu, K.S.R. (eds) Knowledge Based Computer Systems. KBCS 1989. Lecture Notes in Computer Science, vol 444. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0018400
Download citation
DOI: https://doi.org/10.1007/BFb0018400
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-52850-0
Online ISBN: 978-3-540-47168-4
eBook Packages: Springer Book Archive