Uncertainty in Artificial Intelligence
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Generalized Qualitative Probability: Savage Revisited
Daniel Lehmann
Abstract:
Preferences among acts are analyzed in the style of L. Savage, but as partially ordered. The rationality postulates considered are weaker than Savage's on three counts. The Sure Thing Principle is derived in this setting. The postulates are shown to lead to a characterization of generalized qualitative probability that includes and blends both traditional qualitative probability and the ranked structures used in logical approaches.
Keywords: Preferences, qualitative probability, non-Archimedean structures.
Pages: 381-388
PS Link:
PDF Link: /papers/96/p381-lehmann.pdf
BibTex:
@INPROCEEDINGS{Lehmann96,
AUTHOR = "Daniel Lehmann ",
TITLE = "Generalized Qualitative Probability: Savage Revisited",
BOOKTITLE = "Proceedings of the Twelfth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-96)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1996",
PAGES = "381--388"
}


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