In Defence of Objective Bayesianism

Objective Bayesianism is a methodological theory that is currently applied in statistics, philosophy, artificial intelligence, physics and other sciences. This book develops the formal and philosophical foundations of the theory, at a level accessible to a graduate student with some familiarity with mathematical notation.

List of contents

• Preface


• 1: Introduction


• 2: Objective Bayesianism


• 3: Motivation


• 4: Updating


• 5: Predicate Languages


• 6: Objective Bayesian Nets


• 7: Probabilistic Logic


• 8: Judgement Aggregation


• 9: Languages and Relativity


• 10: Objective Bayesianism in Perspective


• References


• Index

About the author

Jon Williamson is Professor of Reasoning, Inference and Scientific Method in the philosophy department at the University of Kent. He works on causality, probability, logic and applications of formal reasoning within science, mathematics and artificial intelligence. Jon currently heads the philosophy department and is a director of the Centre for Reasoning at the University of Kent. He runs the Reasoning Club, a network of research centres, and edits The Reasoner, a monthly gazette on research in this area.

Summary

Objective Bayesianism is a methodological theory that is currently applied in statistics, philosophy, artificial intelligence, physics and other sciences. This book develops the formal and philosophical foundations of the theory, at a level accessible to a graduate student with some familiarity with mathematical notation.

Product details

• Authors: Jon Williamson, Jon (Professor of Reasoning Williamson, Williamson Jon
• Publisher: Oxford University Press
• Languages: English
• Product format: Hardback
• Released: 06.07.2010
• EAN: 9780199228003
• ISBN: 978-0-19-922800-3
• No. of pages: 200
• Subjects: Humanities, art, music > Philosophy > General, dictionaries; Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Artificial Intelligence, PHILOSOPHY / Logic, MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Logic, Artificial Intelligence (AI), Probability & statistics, Mathematical logic, Philosophy: logic, Probability and statistics, COMPUTERS / Artificial Intelligence / General