Philosophy of Science 64 (2):245-267 (1997)

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Abstract
This paper places formal learning theory in a broader philosophical context and provides a glimpse of what the philosophy of induction looks like from a learning-theoretic point of view. Formal learning theory is compared with other standard approaches to the philosophy of induction. Thereafter, we present some results and examples indicating its unique character and philosophical interest, with special attention to its unified perspective on inductive uncertainty and uncomputability
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DOI 10.1086/392550
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References found in this work BETA

Philosophy of Natural Science.Carl G. Hempel - 1967 - British Journal for the Philosophy of Science 18 (1):70-72.
Philosophical Explanations.Robert Nozick - 1981 - Mind 93 (371):450-455.
Epistemology and Cognition.Alvin I. Goldman - 1986 - Synthese 79 (1):165-169.
Review. [REVIEW]Barry Gower - 1997 - British Journal for the Philosophy of Science 48 (1):555-559.

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Citations of this work BETA

Permissivism, The Value of Rationality, and a Convergence-Theoretic Epistemology.Ru Ye - forthcoming - Philosophy and Phenomenological Research.
Bayesian Orgulity.Gordon Belot - 2013 - Philosophy of Science 80 (4):483-503.
Deterministic Convergence and Strong Regularity.Michael Nielsen - 2020 - British Journal for the Philosophy of Science 71 (4):1461-1491.
Means-Ends Epistemology.O. Schulte - 1999 - British Journal for the Philosophy of Science 50 (1):1-31.
How Theories of Induction Can Streamline Measurements of Scientific Performance.Slobodan Perović & Vlasta Sikimić - 2020 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 51 (2):267-291.

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