Uncertainty in Artificial Intelligence
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A Knowledge Acquisition Tool for Bayesian-Network Troubleshooters
Claus Skaanning
Abstract:
This paper describes a domain-specific knowledge acquisition tool for intelligent automated troubleshooters based on Bayesian networks. No Bayesian network knowledge is required to use the tool, and troubleshooting information can be specified as natural and intuitive as possible. Probabilities can be specified in the direction that is most natural to the domain expert. Thus, the knowledge acquisition efficiently removes the traditional knowledge acquisition bottleneck of Bayesian networks.
Keywords:
Pages: 549-557
PS Link:
PDF Link: /papers/00/p549-skaanning.pdf
BibTex:
@INPROCEEDINGS{Skaanning00,
AUTHOR = "Claus Skaanning ",
TITLE = "A Knowledge Acquisition Tool for Bayesian-Network Troubleshooters",
BOOKTITLE = "Proceedings of the Sixteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-00)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "2000",
PAGES = "549--557"
}


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