• DocumentCode
    1559446
  • Title

    Associativity and normative credal probability

  • Author

    Snow, Paul

  • Volume
    32
  • Issue
    1
  • fYear
    2002
  • fDate
    2/1/2002 12:00:00 AM
  • Firstpage
    4
  • Lastpage
    12
  • Abstract
    Cox´s Theorem is a widely cited motivation for probabilistic models of uncertain belief. The theorem relates the associativity of the logical connectives to that of the arithmetic operations of probability. Recent questions about the correctness of Cox´s Theorem have been resolved, but there are new questions about one functional equation used by Cox in 1946. This equation is missing from his later work. Advances in knowledge since 1946 and changes in Cox´s research interests explain the equation´s disappearance. Other associativity-based motivations avoid functional equations altogether, and so may be more transparently applied to finite domains and discrete beliefs. A discrete counterpart of Cox´s Theorem can be assembled from results that have been in the literature since 1959
  • Keywords
    associative processing; inference mechanisms; probability; Cox´s Theorem; Keynesian probability; associativity; de Finetti´s conjecture; probabilistic models; qualitative probability; uncertain belief; Arithmetic; Artificial intelligence; Assembly; Bayesian methods; Equations; Snow;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/3477.979954
  • Filename
    979954