Artificial Intelligence
Artificial Intelligence
Artificial Intelligence
Proceedings of the 2nd international workshop on Non-monotonic reasoning
On the relation between truth maintenance and autoepistemic logic
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Diagnosis with behavioral modes
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Troubleshooting: when modeling is the trouble
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 2
An Information-Theoretic Characterization of Abstraction in Diagnosis and Hypothesis Selection
Proceedings of the 5th International Symposium on Abstraction, Reformulation and Approximation
DiKe - A Model-Based Diagnosis Kernel and Its Application
KI '01 Proceedings of the Joint German/Austrian Conference on AI: Advances in Artificial Intelligence
Stacking Dynamic Time Warping for the Diagnosis of Dynamic Systems
Current Topics in Artificial Intelligence
Problem-solving methods: understanding, description, development, and reuse
Problem-solving methods: understanding, description, development, and reuse
Diagnosing dependent failures in the hardware and software of mobile autonomous robots
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Physical impossibility instead of fault models
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Model-based reconfiguration: toward an integration with diagnosis
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Focusing on probable diagnoses
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Characterizing non-intermittent faults
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 2
Diagnosing multiple intermittent failures using maximum likelihood estimation
Artificial Intelligence
Detecting and repairing anomalous evolutions in noisy environments
Annals of Mathematics and Artificial Intelligence
Diagnosis of power system protection
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
On classification and modeling issues in distributed model-based diagnosis
AI Communications - Intelligent Engineering Techniques for Knowledge Bases
An event-based distributed diagnosis framework using structural model decomposition
Artificial Intelligence
| Hi-index | 0.00 |
The General Diagnostic Engine (GDE) provides an elegant and general framework for model-based diagnosis. However, like many other diagnostic systems, GDE's device models capture only the correct, or intended, behavior of its components. It is lacking an important part of diagnostic reasoning: knowledge about how components may behave when they are faulty. This fact can limit the performance of GDE considerably. We present a solution for integrating the use of fault models into GDE in a very homogeneous way, a system called GDE +. Unlike the basic GDE, it can not only exploit contradictions between the assumed correct behavior of components and the observations, but also analyze whether the faultiness of components would really explain the observations. Based on an extended version of the ATMS, GDE + is able to prove the correctness of components and to rule out implausible diagnostic hypotheses.