Title: | Precise Propagation of Upper and Lower Probability Bounds in System P. |
Authors: | Angelo Gilio |
Series: | Linköping Electronic Articles in Computer and Information Science ISSN 1401-9841 |
Issue: | Vol. 5 (2000): nr 022 |
URL: | http://www.ep.liu.se/ea/cis/2000/022/ |
Abstract: |
In this paper we consider the inference rules of System P in the framework of
coherent imprecise probabilistic assessments. Exploiting our algorithms, we
propagate the lower and upper probability bounds associated with the
conditional assertions of a given knowledge base, automatically obtaining the
precise probability bounds for the derived conclusions of the inference rules.
This allows a more flexible and realistic use of System P in
default reasoning and provides an exact illustration of the degradation of
the inference rules when interpreted in probabilistic terms. We also examine
the disjunctive Weak Rational Monotony of System
P |
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Keywords: |
First posting 1999-04-06 | In ETAI Newsletter and Decision and Reasoning under Uncertainty |
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Original publication 2000-12-21 |
Postscript part I --
Checksum Postscript part II -- Checksum II |
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