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  1. Scientific Reasoning: The Bayesian Approach.Colin Howson & Peter Urbach - 1989 - British Journal for the Philosophy of Science 48 (1):126-131.
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  • Bayesianism and Diverse Evidence.Andrew Wayne - 1995 - Philosophy of Science 62 (1):111-121.
    A common methodological adage holds that diverse evidence better confirms a hypothesis than does the same amount of similar evidence. Proponents of Bayesian approaches to scientific reasoning such as Horwich, Howson and Urbach, and Earman claim to offer both a precise rendering of this maxim in probabilistic terms and an explanation of why the maxim should be part of the methodological canon of good science. This paper contends that these claims are mistaken and that, at best, Bayesian accounts of diverse (...)
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  • The Probable and the Provable.L. J. Cohen - 1977 - British Journal for the Philosophy of Science 30 (3):279-292.
     
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  • Is Coherence Truth Conducive?T. Shogenji - 1999 - Analysis 59 (4):338-345.
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  • No Help for the Coherentist.P. Klein & T. A. Warfield - 1996 - Analysis 56 (2):118-121.
  • Against Coherence: Truth, Probability, and Justification.Erik J. Olsson - 2005 - Oxford University Press.
    It is tempting to think that, if a person's beliefs are coherent, they are also likely to be true. This truth conduciveness claim is the cornerstone of the popular coherence theory of knowledge and justification. Erik Olsson's new book is the most extensive and detailed study of coherence and probable truth to date. Setting new standards of precision and clarity, Olsson argues that the value of coherence has been widely overestimated. Provocative and readable, Against Coherence will make stimulating reading for (...)
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  • Hume’s Abject Failure: The Argument Against Miracles.John Earman - 2000 - Oxford University Press.
    This vital study offers a new interpretation of Hume's famous "Of Miracles," which notoriously argues against the possibility of miracles. By situating Hume's popular argument in the context of the 18th century debate on miracles, Earman shows Hume's argument to be largely unoriginal and chiefly without merit where it is original. Yet Earman constructively conceives how progress can be made on the issues that Hume's essay so provocatively posed about the ability of eyewitness testimony to establish the credibility of marvelous (...)
  • Hume’s Abject Failure: The Argument Against Miracles.John Earman - 2000 - Philosophy and Phenomenological Research 68 (2):487-494.
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  • The Structure of Empirical Knowledge.Lawrence Bonjour - 1985 - Critica 18 (54):112-115.
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  • The Structure of Empirical Knowledge.Laurence BonJour - 1985 - Mind 95 (380):531-533.
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  • The Structure of Empirical Knowledge.Laurence BonJour - 1985 - Philosophy and Phenomenological Research 47 (4):670-673.
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  • The Structure of Empirical Knowledge.Laurence BonJour - 1985 - Harvard University Press.
    1 Knowledge and Justification This book is an investigation of one central problem which arises in the attempt to give a philosophical account of empirical ...
  • The Probable and the Provable.L. Jonathan Cohen - 1977 - Philosophical Quarterly 29 (114):89-90.
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  • The Probable and the Provable.L. Jonathan Cohen - 1977 - Synthese 44 (1):149-159.
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  • Scientific Reasoning: The Bayesian Approach.Peter Urbach & Colin Howson - 1993 - Open Court.
    Scientific reasoning is—and ought to be—conducted in accordance with the axioms of probability. This Bayesian view—so called because of the central role it accords to a theorem first proved by Thomas Bayes in the late eighteenth ...
  • Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press.
    Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information is. Bovens and Hartmann provide a systematic Bayesian account of these features of reasoning. Simple Bayesian Networks allow us to model alternative assumptions about the nature of the information sources. (...)
  • Is Coherence Truth Conducive?Tomoji Shogenji - 1999 - Analysis 59 (4):338–345.
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  • Bayesianism and Diverse Evidence: A Reply to Andrew Wayne.Wayne C. Myrvold - 1996 - Philosophy of Science 63 (4):661-665.
    Andrew Wayne discusses some recent attempts to account, within a Bayesian framework, for the "common methodological adage" that "diverse evidence better confirms a hypothesis than does the same amount of similar evidence". One of the approaches considered by Wayne is that suggested by Howson and Urbach and dubbed the "correlation approach" by Wayne. This approach is, indeed, incomplete, in that it neglects the role of the hypothesis under consideration in determining what diversity in a body of evidence is relevant diversity. (...)
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  • No Help for the Coherentist.Peter Klein & Ted A. Warfield - 1996 - Analysis 56 (2):118–121.
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  • What Price Coherence?Peter Klein & Ted A. Warfield - 1994 - Analysis 54 (3):129 - 132.
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  • Why Does Coherence Appear Truth-Conducive?Tomoji Shogenji - 2007 - Synthese 157 (3):361 - 372.
    This paper aims to reconcile (i) the intuitively plausible view that a higher degree of coherence among independent pieces of evidence makes the hypothesis they support more probable, and (ii) the negative results in Bayesian epistemology to the effect that there is no probabilistic measure of coherence such that a higher degree of coherence among independent pieces of evidence makes the hypothesis they support more probable. I consider a simple model in which the negative result appears in a stark form: (...)
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