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Author: Angelo Gilio
Article title: Precise Propagation of Upper and Lower Probability Bounds in System P
Publ. type: Article
Volume: 5
Article No: 22
Language: English
Abstract [en]: 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  +  proposed by Adams in his extended probability logic.
Publisher: LINKÖPING University Electronic Press
Year: 2000
Available: 2000-12-21
No. of pages: 10
Series: LINKÖPING Electronic Articles in Computer and Information Science
ISSN: 1401-9841
Note: First posting 1999-04-06 in ETAI Newsletter and Decision and Reasoning under Uncertainty


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