Uncertainty in Artificial Intelligence
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A Probabilistic Approach to Hierarchical Model-based Diagnosis
Sampath Srinivas
Abstract:
Model-based diagnosis reasons backwards from a functional schematic of a system to isolate faults given observations of anomalous behavior. We develop a fully probabilistic approach to model based diagnosis and extend it to support hierarchical models. Our scheme translates the functional schematic into a Bayesian network and diagnostic inference takes place in the Bayesian network. A Bayesian network diagnostic inference algorithm is modified to take advantage of the hierarchy to give computational gains.
Keywords:
Pages: 538-545
PS Link:
PDF Link: /papers/94/p538-srinivas.pdf
BibTex:
@INPROCEEDINGS{Srinivas94,
AUTHOR = "Sampath Srinivas ",
TITLE = "A Probabilistic Approach to Hierarchical Model-based Diagnosis",
BOOKTITLE = "Proceedings of the Tenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-94)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1994",
PAGES = "538--545"
}


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