Uncertainty in Artificial Intelligence
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Problem Formulation as the Reduction of a Decision Model
David Heckerman, Eric Horvitz
Abstract:
In this paper, we extend the QMRDT probabilistic model for the domain of internal medicine to include decisions about treatments. In addition, we describe how we can use the comprehensive decision model to construct a simpler decision model for a specific patient. In so doing, we transform the task of problem formulation to that of narrowing of a larger problem.
Keywords: null
Pages: 159-170
PS Link:
PDF Link: /papers/90/p159-heckerman.pdf
BibTex:
@INPROCEEDINGS{Heckerman90,
AUTHOR = "David Heckerman and Eric Horvitz",
TITLE = "Problem Formulation as the Reduction of a Decision Model",
BOOKTITLE = "Uncertainty in Artificial Intelligence 6 Annual Conference on Uncertainty in Artificial Intelligence (UAI-90)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1990",
PAGES = "159--170"
}


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