Reasoning with uncertainty using conditional logic and probability

Conditional propositions do for logic what fractions do for the integers. The resulting system allows systematic simplification and probabilistic determination of complex conditional expressions used extensively in expert systems and other information processing. The distinction between wholly true...

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Bibliographic Details
Published in[1990] Proceedings. First International Symposium on Uncertainty Modeling and Analysis pp. 682 - 688
Main Author Calabrese, P.G.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1990
Subjects
Boolean algebra
Councils
Expert systems
Helium
Information processing
Natural languages
Oceans
Probabilistic logic
Uncertainty
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Summary:Conditional propositions do for logic what fractions do for the integers. The resulting system allows systematic simplification and probabilistic determination of complex conditional expressions used extensively in expert systems and other information processing. The distinction between wholly true versus partially true propositions and the resulting distinction between conditional propositions that are true, false or inapplicable (undefined) leads to various plausible forms of deduction in the realm of conditionals, thus illustrating the non-monotonicity of conditional logic and probability.< >
ISBN:9780818621079
0818621079
DOI:10.1109/ISUMA.1990.151337