DocumentCode :
2091065
Title :
Reasoning with uncertainty using conditional logic and probability
Author :
Calabrese, Philip G.
Author_Institution :
Senior Res. Associate of Nat. Res. Council, Nat. Acad. of Sci., Naval Ocean Syst. Center, San Diego, CA, USA
fYear :
1990
fDate :
3-5 Dec 1990
Firstpage :
682
Lastpage :
688
Abstract :
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
Keywords :
formal logic; probability; complex conditional expressions; conditional logic; expert systems; information processing; nonmonotonicity; probability; uncertainty; Boolean algebra; Councils; Expert systems; Helium; Information processing; Natural languages; Oceans; Probabilistic logic; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-2107-9
Type :
conf
DOI :
10.1109/ISUMA.1990.151337
Filename :
151337
Link To Document :
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