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