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  1. (1 other version)The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.
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  • (1 other version)The Foundations of Statistics.Leonard J. Savage - 1956 - Philosophy of Science 23 (2):166-166.
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  • (3 other versions)What is Justified Belief?Alvin I. Goldman - 1979 - In George Pappas (ed.), Justification and Knowledge: New Studies in Epistemology. Boston: D. Reidel. pp. 1-25.
    The aim of this paper is to sketch a theory of justified belief. What I have in mind is an explanatory theory, one that explains in a general way why certain beliefs are counted as justified and others as unjustified. Unlike some traditional approaches, I do not try to prescribe standards for justification that differ from, or improve upon, our ordinary standards. I merely try to explicate the ordinary standards, which are, I believe, quite different from those of many classical, (...)
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  • How Valuable Are Chances?H. Orii Stefansson & Richard Bradley - 2015 - Philosophy of Science 82 (4):602-625.
    Chance Neutrality is the thesis that, conditional on some proposition being true, its chance of being true should be a matter of practical indifference. The aim of this article is to examine whether Chance Neutrality is a requirement of rationality. We prove that given Chance Neutrality, the Principal Principle entails a thesis called Linearity; the centerpiece of von Neumann and Morgenstern’s expected utility theory. With this in mind, we argue that the Principal Principle is a requirement of practical rationality but (...)
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  • Risk and Rationality.Lara Buchak - 2013 - Oxford, GB: Oxford University Press.
    Lara Buchak sets out a new account of rational decision-making in the face of risk. She argues that the orthodox view is too narrow, and suggests an alternative, more permissive theory: one that allows individuals to pay attention to the worst-case or best-case scenario, and vindicates the ordinary decision-maker.
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  • The Foundations of Statistics.Leonard Savage - 1954 - Wiley Publications in Statistics.
    Classic analysis of the subject and the development of personal probability; one of the greatest controversies in modern statistcal thought.
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  • Beyond "Justification": Dimensions of Epistemic Evaluation.William P. Alston - 2005 - Ithaca: Cornell University Press.
    " In a book that seeks to shift the ground of debate within theory of knowledge, William P. Alston finds that the century-lo.
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