David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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In David Corfield & Jon Williamson (eds.), Foundations of Bayesianism (2001)
Foundations of Bayesianism is an authoritative collection of papers addressing the key challenges that face the Bayesian interpretation of probability today. Some of these papers seek to clarify the relationships between Bayesian, causal and logical reasoning. Others consider the application of Bayesianism to artificial intelligence, decision theory, statistics and the philosophy of science and mathematics. The volume includes important criticisms of Bayesian reasoning and also gives an insight into some of the points of disagreement amongst advocates of the Bayesian approach. The upshot is a plethora of new problems and directions for Bayesians to pursue.The book will be of interest to graduate students or researchers who wish to learn more about Bayesianism than can be provided by introductory textbooks to the subject. Those involved with the applications of Bayesian reasoning will find essential discussion on the validity of Bayesianism and its limits, while philosophers and others interested in pure reasoning will find new ideas on normativity and the logic of belief.
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Richard Bradley (2007). A Unified Bayesian Decision Theory. Theory and Decision 63 (3):233-263,.
Richard Bradley (2004). Ramsey's Representation Theorem. Dialectica 58 (4):483–497.
Richard Bradley (2008). Comparing Evaluations. Proceedings of the Aristotelian Society 108 (1part1):85-100.
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