The Probabilistic Foundations of Rational Learning by Simon M. Huttegger (Englis

Description: The Probabilistic Foundations of Rational Learning by Simon M. Huttegger This book develops a general approach to learning within the framework of probability theory, drawing on Bayesian epistemology, and discusses its applications to decision and game theory. It will appeal to philosophers working on epistemology as well as to economists, psychologists and computer scientists. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description According to Bayesian epistemology, rational learning from experience is consistent learning, that is learning should incorporate new information consistently into ones old system of beliefs. Simon M. Huttegger argues that this core idea can be transferred to situations where the learners 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 Jeffreys 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. Author Biography 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. Table of Contents 1. Consistency and symmetry; 2. Bounded rationality; 3. Pattern learning; 4. Large worlds; 5. Radical probabilism; 6. Reflection; 7. Disagreement; 8. Consensus; Appendices. Promotional This book extends Bayesian epistemology to develop new approaches to general rational learning within the framework of probability theory. Promotional "Headline" This book extends Bayesian epistemology to develop new approaches to general rational learning within the framework of probability theory. Description for Bookstore This book develops a general approach to learning within the framework of probability theory, drawing on Bayesian epistemology, and discusses its applications to decision and game theory. It will appeal to philosophers working on epistemology as well as to economists, psychologists and computer scientists. Description for Library This book develops a general approach to learning within the framework of probability theory, drawing on Bayesian epistemology, and discusses its applications to decision and game theory. It will appeal to philosophers working on epistemology as well as to economists, psychologists and computer scientists. Details ISBN1107535662 Author Simon M. Huttegger Pages 238 Publisher Cambridge University Press Year 2019 ISBN-10 1107535662 ISBN-13 9781107535664 Publication Date 2019-12-19 Format Paperback Imprint Cambridge University Press Place of Publication Cambridge Country of Publication United Kingdom Affiliation University of California, Irvine DEWEY 153.15 Language English UK Release Date 2019-12-19 AU Release Date 2019-12-19 NZ Release Date 2019-12-19 Illustrations 5 Line drawings, black and white Alternative 9781107115323 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:126352540;

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