Stanford Encyclopedia of Philosophy (2008)

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Formal learning theory is the mathematical embodiment of a normative epistemology. It deals with the question of how an agent should use observations about her environment to arrive at correct and informative conclusions. Philosophers such as Putnam, Glymour and Kelly have developed learning theory as a normative framework for scientific reasoning and inductive inference.
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References found in this work BETA

The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - University of Chicago Press.
Two Dogmas of Empiricism.W. Quine - 1951 - [Longmans, Green].
Modal Logic: An Introduction.Brian F. Chellas - 1980 - Cambridge University Press.
Bayes or Bust?John Earman - 1992 - Bradford.

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Citations of this work BETA

Confirmation and Induction.Franz Huber - 2007 - Internet Encyclopedia of Philosophy.
The Co-Discovery of Conservation Laws and Particle Families.Oliver Schulte - 2008 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 39 (2):288-314.
The Co-Discovery of Conservation Laws and Particle Families.Oliver Schulte - 2008 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 39 (2):288-314.

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Logically Reliable Inductive Inference.Oliver Schulte - 2007 - In Michele Friend, Norma B. Goethe & Valentina Harizanov (eds.), Induction, algorithmic learning theory, and philosophy. Springer. pp. 157-178.
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Formal Learning Theory and the Philosophy of Science.Kevin T. Kelly - 1988 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988:413 - 423.

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