The Probabilistic Foundations of Rational Learning

Nonfiction, Religion & Spirituality, Philosophy, Logic, Epistemology
Cover of the book The Probabilistic Foundations of Rational Learning by Simon M. Huttegger, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Simon M. Huttegger ISBN: 9781108506175
Publisher: Cambridge University Press Publication: October 19, 2017
Imprint: Cambridge University Press Language: English
Author: Simon M. Huttegger
ISBN: 9781108506175
Publisher: Cambridge University Press
Publication: October 19, 2017
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Conflicts in Conservation by Simon M. Huttegger
Cover of the book The Cambridge Companion to Medieval English Literature 1100–1500 by Simon M. Huttegger
Cover of the book Negotiation and the Global Information Economy by Simon M. Huttegger
Cover of the book Theories of Political Economy by Simon M. Huttegger
Cover of the book Classical Solutions in Quantum Field Theory by Simon M. Huttegger
Cover of the book Evidence and Evolution by Simon M. Huttegger
Cover of the book Judges on Trial by Simon M. Huttegger
Cover of the book Strategic Risk Management Practice by Simon M. Huttegger
Cover of the book Register Variation Online by Simon M. Huttegger
Cover of the book Beyond Combat by Simon M. Huttegger
Cover of the book The United States, Italy and the Origins of Cold War by Simon M. Huttegger
Cover of the book Should Race Matter? by Simon M. Huttegger
Cover of the book The French in the Kingdom of Sicily, 1266–1305 by Simon M. Huttegger
Cover of the book The BMT Data Book by Simon M. Huttegger
Cover of the book The Poetry of Victorian Scientists by Simon M. Huttegger
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy