A knowledge acquisition tool for Bayesian-network troubleshooters

Authors:
Claus Skaanning
Affiliations:
Hewlett-Packard, Customer Support R&D, Aalborg SØ, Denmark
Venue:
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Year:
2000

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Abstract

This paper describes a domain-specific knowledge acquisition tool for intelligent automated troubleshooter!; based on Bayesian networks. No Bayesian network knowledge is required to use the tool., and troubleshooting information can be spec.ified 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.