Uncertainty in Artificial Intelligence
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Defaults and Infinitesimals: Defeasible Inference by Nonarchimedean Entropy-Maximization
Emil Weydert
We develop a new semantics for defeasible inference based on extended probability measures allowed to take infinitesimal values, on the interpretation of defaults as generalized conditional probability constraints and on a preferred-model implementation of entropy maximization.
Keywords: Default reasoning, maximum entropy, nonstandard probability.
Pages: 540-547
PS Link: ftp://ftp.mpi-sb.mpg.de/pub/guide/staff/weydert/publications/Defaults.infinitesimals.
PDF Link: /papers/95/p540-weydert.pdf
AUTHOR = "Emil Weydert ",
TITLE = "Defaults and Infinitesimals: Defeasible Inference by Nonarchimedean Entropy-Maximization",
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 = "540--547"

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