Readership: Graduates and PhD students in mathematics, statistics, artificial intelligence, and philosophy of science.
Jon Williamson, Professor of Reasoning, Inference and Scientific Method, University of Kent, UK
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