The Probabilistic Foundations of Rational Learning

by Simon M. Huttegger (Author)

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ISBN-13: 978-1107115323

ISBN-10: 1107115329

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According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into one's old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learner's informational inputs are much more limited than Bayesianism assumes, thereby significantly expanding the reach of a Bayesian type of epistemology. What results from this is a unified account of probabilistic learning in the tradition of Richard Jeffrey's 'radical probabilism'. Along the way, Huttegger addresses a number of debates in epistemology and the philosophy of science, including the status of prior probabilities, whether Bayes' rule is the only legitimate form of learning from experience, and whether rational agents can have sustained disagreements. His book will be of interest to students and scholars of epistemology, of game and decision theory, and of cognitive, economic, and computer sciences.

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Book Description

This book extends Bayesian epistemology to develop new approaches to general rational learning within the framework of probability theory.

About the Author

Simon M. Huttegger is Professor of Logic and Philosophy of Science at the University of California, Irvine. His work focuses on game and decision theory, probability, and the philosophy of science, and has been published in numerous journals.

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Product details

Publisher : Cambridge University Press (November 28, 2017)
Language : English
Hardcover : 238 pages
ISBN-10 : 1107115329
ISBN-13 : 978-1107115323
Item Weight : 1.21 pounds
Dimensions : 7.24 x 0.66 x 10.24 inches

Best Sellers Rank: #5,363,805 in Books (See Top 100 in Books)
- #1,583 in Logic (Books)
- #5,082 in Philosophy of Logic & Language
- #71,978 in Education (Books)

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