• 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