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  1. (1 other version)An Analysis of Knowledge and Valuation.C. I. Lewis - 1946 - Mind 57 (225):71-85.
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  • Fragments by C. I. Lewis on Probablity, Practical Certainty, and Congruence.Fernando R. Molina - 1983 - Philosophy Research Archives 9 (9999):186-201.
    Prepared with the cooperation and assistance of Sara Timby, Stanford University Libraries, this edition contains papers that were still on C. I. Lewis' desk at the time of his death. Especially noteworthy is the fragment entitled "On Probability" in which Lewis directs his attention to the subject of past experiences, which, although now beyond recall, are regarded as having played a role in the fomation of our beliefs. Also included are notes on thought regarded as action, on the Kantian postulate (...)
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  • (1 other version)Is coherence truth conducive?T. Shogenji - 1999 - Analysis 59 (4):338-345.
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  • The structure of empirical knowledge.Laurence BonJour - 1985 - Cambridge: 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 ...
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  • Probability and Coherence Justification.Michael Huemer - 1997 - Southern Journal of Philosophy 35 (4):463-472.
    In The Structure of Empirical Knowledge , Laurence BonJour argues that coherence among a set of empirical beliefs can provide justification for those beliefs, in the sense of rendering them likely to be true. He also repudiates all forms of foundationalism for empirical beliefs, including what he calls "weak foundationalism" (the weakest form of foundationalism he can find). In the following, I will argue that coherence cannot provide any justification for our beliefs in the manner BonJour suggests unless some form (...)
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  • (1 other version)Why coherence is not truth-conducive.Erik J. Olsson - 2001 - Analysis 61 (3):236–241.
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  • Corroborating testimony, probability and surprise.Erik J. Olsson - 2002 - British Journal for the Philosophy of Science 53 (2):273-288.
    Jonathan Cohen has claimed that in cases of witness agreement there is an inverse relationship between the prior probability and the posterior probability of what is being agreed: the posterior rises as the prior falls. As is demonstrated in this paper, this contention is not generally valid. In fact, in the most straightforward case exactly the opposite is true: a lower prior also means a lower posterior. This notwithstanding, there is a grain of truth to what Cohen is saying, as (...)
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  • A puzzle in Lewis's theory of memory.Richard B. Brandt - 1954 - Philosophical Studies 5 (6):88 - 95.
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  • Coherentism, reliability and bayesian networks.Luc Bovens & Erik J. Olsson - 2000 - Mind 109 (436):685-719.
    The coherentist theory of justification provides a response to the sceptical challenge: even though the independent processes by which we gather information about the world may be of dubious quality, the internal coherence of the information provides the justification for our empirical beliefs. This central canon of the coherence theory of justification is tested within the framework of Bayesian networks, which is a theory of probabilistic reasoning in artificial intelligence. We interpret the independence of the information gathering processes (IGPs) in (...)
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  • Inquiry.Robert Stalnaker - 1984 - Cambridge University Press.
    The abstract structure of inquiry - the process of acquiring and changing beliefs about the world - is the focus of this book which takes the position that the "pragmatic" rather than the "linguistic" approach better solves the philosophical problems about the nature of mental representation, and better accounts for the phenomena of thought and speech. It discusses propositions and propositional attitudes (the cluster of activities that constitute inquiry) in general and takes up the way beliefs change in response to (...)
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  • (1 other version)Why coherence is not truth-conducive.Erik J. Olsson - 2001 - Analysis 61 (3):236-241.
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  • Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.
    The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
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