Hi all --
This book may be of interest to UAI list members. I believe it arises
from a symposium on Bayesianism organized by the Philosophy Department
at Kings College, University of London, early last year.
-- Peter
****************************************************************
Peter McBurney
Agent Applications, Research and Technology (Agent ART)
Group
Department of Computer Science
University of Liverpool
Liverpool L69 7ZF
U.K.
Tel: + 44 151 794 6768
Email: [EMAIL PROTECTED]
Web page: www.csc.liv.ac.uk/~peter/
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[EMAIL PROTECTED] wrote:
>
>
> Kluwer ALERT, the free notification service from Kluwer Academic/PLENUM
> Publishers and Kluwer Law International
>
> ------------------------------------------------------------
>
> Foundations of Bayesianism
> edited by
> David Corfield
> Dept. of Philosophy, King's College London, UK
> Jon Williamson
> Dept. of Philosophy, King's College London, UK
>
> APPLIED LOGIC SERIES Volume: 24
>
> 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.
>
> CONTENTS
>
> Editorial Foreword. Editorial Preface. Introduction:
> Bayesianism into the 21st Century; J. Williamson, D. Corfield.
> Bayesianism, Causality and Networks. Bayesianism and
> Causality, or, Why I am only a Half-Bayesian; J. Pearl. Causal
> Inference without Counterfactuals; P. Dawid. Foundations
> for Bayesian Networks; J. Williamson. Probabilistic Learning
> Models; P. Williams. Logic, Mathematics and Bayesianism.
> The Logic of Bayesian Probability; C. Howson. Subjectivism,
> Objectivism and Objectivity in Bruno de Finetti's Bayesianism; M.C.
> Galavotti. Bayesianism in Mathematics; D. Corfield. Common
> Sense and Stochastic Independence; J. Paris, A.
> Vencovska. Integrating Probabilistic and Logical Reasoning;
> J. Cussens. Bayesianism and Decision Theory. Ramsey and
> the Measurement of Belief; R. Bradley. Bayesianism and
> Independence; E.F. McClennen. The Paradox of the Bayesian
> Experts; P. Mongin. Criticisms of Bayesianism.
> Bayesian Learning and Expectations Formation: Anything Goes; M.
> Albert. Bayesianism and the Fixity of the Theoretical Framework;
> D. Gillies. Principles of Inference and their Consequences;
> D. Mayo, M. Kruse. Index.
>
> Hardbound, ISBN 1-4020-0223-8, December 2001, 428 pp.
> EUR 120.00 / USD 110.00 / GBP 76.00
>
> URL of this book: http://www.wkap.nl/book.htm/1-4020-0223-8
>
>
> Thank you for your interest in Kluwer's books and journals.
>
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