Formal learning theory

Stanford Encyclopedia of Philosophy (2008)
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Abstract

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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Citations of this work

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.

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References found in this work

The Foundations of Statistics.Leonard J. Savage - 1954 - Wiley Publications in Statistics.
Modal Logic: An Introduction.Brian F. Chellas - 1980 - New York: Cambridge University Press.
Theory of Games and Economic Behavior.John Von Neumann & Oskar Morgenstern - 1944 - Princeton, NJ, USA: Princeton University Press.

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