Probabilistic Foundations of Rational Learning

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

List 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.

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.

Summary

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.

Product details

• Authors: Simon M. Huttegger, Simon M. (University of California Huttegger
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 19.10.2017
• EAN: 9781107115323
• ISBN: 978-1-107-11532-3
• No. of pages: 238
• Subjects: Humanities, art, music > Education > General, dictionaries; Non-fiction book > Philosophy, religion > Philosophy: general, reference works; English, PHILOSOPHY / Logic, Philosophy, Philosophy: epistemology & theory of knowledge, Philosophy: logic