Uncertainty in Artificial Intelligence
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Myopic Value of Information in Influence Diagrams
Soren Dittmer, Finn Jensen
Abstract:
We present a method for calculation of myopic value of information in influence diagrams (Howard & Matheson, 1981) based on the strong junction tree framework (Jensen, Jensen & Dittmer, 1994). The difference in instantiation order in the influence diagrams is reflected in the corresponding junction trees by the order in which the chance nodes are marginalized. This order of marginalization can be changed by table expansion and in effect the same junction tree with expanded tables may be used for calculating the expected utility for scenarios with different instantiation order. We also compare our method to the classic method of modeling different instantiation orders in the same influence diagram.
Keywords: Influence diagrams, value of information, strong junction tree, table expansion, dyn
Pages: 142-149
PS Link:
PDF Link: /papers/97/p142-dittmer.pdf
BibTex:
@INPROCEEDINGS{Dittmer97,
AUTHOR = "Soren Dittmer and Finn Jensen",
TITLE = "Myopic Value of Information in Influence Diagrams",
BOOKTITLE = "Proceedings of the Thirteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-97)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1997",
PAGES = "142--149"
}


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