Uncertainty in Artificial Intelligence
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Generalizing Jeffrey Conditionalization
Carl Wagner
Abstract:
Jeffrey's rule has been generalized by Wagner to the case in which new evidence bounds the possible revisions of a prior probability below by a Dempsterian lower probability. Classical probability kinematics arises within this generalization as the special case in which the evidentiary focal elements of the bounding lower probability are pairwise disjoint. We discuss a twofold extension of this generalization, first allowing the lower bound to be any two-monotone capacity and then allowing the prior to be a lower envelope.
Keywords:
Pages: 331-335
PS Link:
PDF Link: /papers/92/p331-wagner.pdf
BibTex:
@INPROCEEDINGS{Wagner92,
AUTHOR = "Carl Wagner ",
TITLE = "Generalizing Jeffrey Conditionalization",
BOOKTITLE = "Proceedings of the Eighth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-92)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1992",
PAGES = "331--335"
}


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