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  1. (1 other version)The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.
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  • Mechanical learners pay a price for Bayesianism.Daniel N. Osherson, Michael Stob & Scott Weinstein - 1988 - Journal of Symbolic Logic 53 (4):1245-1251.
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  • Probabilities over rich languages, testing and randomness.Haim Gaifman & Marc Snir - 1982 - Journal of Symbolic Logic 47 (3):495-548.
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  • Reliability, Realism, and Relativism.Kevin T. Kelly, Cory Juhl & Clark Glymour - unknown
    Kevin T. Kelly, Cory Juhl and Clark Glymour. Reliability, Realism, and Relativism.
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  • Learning Theory and Descriptive Set Theory.Kevin T. Kelly - unknown
    then essentially characterized the hypotheses that mechanical scientists can successfully decide in the limit in terms of arithmetic complexity. These ideas were developed still further by Peter Kugel [4]. In this paper, I extend this approach to obtain characterizations of identification in the limit, identification with bounded mind-changes, and identification in the short run, both for computers and for ideal agents with unbounded computational abilities. The characterization of identification with n mind-changes entails, as a corollary, an exact arithmetic characterization of (...)
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