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 Hardcover 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 ISBN1107115329 Author Simon M. Huttegger Publisher Cambridge University Press ISBN-10 1107115329 ISBN-13 9781107115323 Format Hardcover Imprint Cambridge University Press Place of Publication Cambridge Country of Publication United Kingdom Affiliation University of California, Irvine Media Book Year 2017 DEWEY 370.1 Pages 238 Language English Publication Date 2017-10-19 UK Release Date 2017-10-19 AU Release Date 2017-10-19 NZ Release Date 2017-10-19 Illustrations 5 Line drawings, black and white Alternative 9781107535664 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:149923924;

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