| 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 | 
|---|---|
| Intended publication 1999-12-21 | Postscript part I -- 
Checksum Postscript part II -- Checksum II | 
| Info from authors | |
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