Uncertainty in Artificial Intelligence
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An Order of Magnitude Calculus
Nic Wilson
Abstract:
This paper develops a simple calculus for order of magnitude reasoning. A semantics is given with soundness and completeness results. Order of magnitude probability functions are easily defined and turn out to be equivalent to kappa functions, which are slight generalizations of Spohn's Natural Conditional Functions. The calculus also gives rise to an order of magnitude decision theory, which can be used to justify an amended version of Pearl's decision theory for kappa functions, although the latter is weaker and less expressive.
Keywords: Order of magnitude reasoning, kappa functions, natural conditional functions, decisi
Pages: 548-555
PS Link:
PDF Link: /papers/95/p548-wilson.pdf
BibTex:
@INPROCEEDINGS{Wilson95,
AUTHOR = "Nic Wilson ",
TITLE = "An Order of Magnitude Calculus",
BOOKTITLE = "Proceedings of the Eleventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-95)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1995",
PAGES = "548--555"
}


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