Uncertainty in Artificial Intelligence
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How to Elicit Many Probabilities
Linda van der Gaag, Silja Renooij, Cilia Witteman, Berthe Aleman, Babs Taal
In building Bayesian belief networks, the elicitation of all probabilities required can be a major obstacle. We learned the extent of this often-cited observation in the construction of the probabilistic part of a complex influence diagram in the field of cancer treatment. Based upon our negative experiences with existing methods, we designed a new method for probability elicitation from domain experts. The method combines various ideas, among which are the ideas of transcribing probabilities and of using a scale with both numerical and verbal anchors for marking assessments. In the construction of the probabilistic part of our influence diagram, the method proved to allow for the elicitation of many probabilities in little time.
Keywords: belief networks, expert elicitation
Pages: 647-654
PS Link:
PDF Link: /papers/99/p647-van_der_gaag.pdf
@INPROCEEDINGS{van der Gaag99,
AUTHOR = "Linda van der Gaag and Silja Renooij and Cilia Witteman and Berthe Aleman and Babs Taal",
TITLE = "How to Elicit Many Probabilities",
BOOKTITLE = "Proceedings of the Fifteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-99)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1999",
PAGES = "647--654"

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