Commuting probability revisions: The uniformity rule [Book Review]
Graduate studies at Western
Erkenntnis 59 (3):349-364 (2003)
|Abstract||A simple rule of probability revision ensures that the final result ofa sequence of probability revisions is undisturbed by an alterationin the temporal order of the learning prompting those revisions.This Uniformity Rule dictates that identical learning be reflectedin identical ratios of certain new-to-old odds, and is grounded in the oldBayesian idea that such ratios represent what is learned from new experiencealone, with prior probabilities factored out. The main theorem of this paperincludes as special cases (i) Field's theorem on commuting probability-kinematical revisions and (ii) the equivalence of two strategiesfor generalizing Jeffrey's solution to the old evidence problem tothe case of uncertain old evidence and probabilistic new explanation.|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Keith Lehrer (1983). Rationality as Weighted Averaging. Synthese 57 (3):283 - 295.
Carl G. Wagner (2002). Probability Kinematics and Commutativity. Philosophy of Science 69 (2):266-278.
Carl G. Wagner (1992). Generalized Probability Kinematics. Erkenntnis 36 (2):245 - 257.
Peter Gärdenfors (1986). The Dynamics of Belief: Contractions and Revisions of Probability Functions. Topoi 5 (1):29-37.
Carl G. Wagner (2001). Old Evidence and New Explanation III. Philosophy of Science 68 (3):S165 - S175.
Carl G. Wagner (1997). Old Evidence and New Explanation. Philosophy of Science 64 (4):677-691.
Richard Swinburne (2008). Bayes's Theorem. Gogoa 8 (1):138.
Carl G. Wagner (2003). Commuting Probability Revisions: The Uniformity Rule: In Memoriam Richard Jeffrey, 1926-2002. Erkenntnis 59 (3):349 - 364.
Added to index2009-01-28
Total downloads3 ( #213,731 of 739,345 )
Recent downloads (6 months)1 ( #61,538 of 739,345 )
How can I increase my downloads?