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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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  • Dynamics of Epistemic Modality.Malte Willer - 2013 - Philosophical Review 122 (1):45-92.
    A dynamic semantics for epistemically modalized sentences is an attractive alternative to the orthodox view that our best theory of meaning ascribes to such sentences truth-conditions relative to what is known. This essay demonstrates that a dynamic theory about might and must offers elegant explanations of a range of puzzling observations about epistemic modals. The first part of the story offers a unifying treatment of disputes about epistemic modality and disputes about matters of fact while at the same time avoiding (...)
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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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  • Truth and probability.Frank Ramsey - 2010 - In Antony Eagle (ed.), Philosophy of Probability: Contemporary Readings. New York: Routledge. pp. 52-94.
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  • On Scope Relations between Quantifiers and Epistemic Modals.Eric Swanson - 2010 - Journal of Semantics 27 (4):529-540.
    This paper presents and discusses a range of counterexamples to the common view that quantifiers cannot take scope over epistemic modals. Some of the counterexamples raise problems for ‘force modifier’ theories of epistemic modals. Some of the counterexamples raise problems for Robert Stalnaker’s theory of counterfactuals, according to which a special kind of epistemic modal must be able to scope over a whole counterfactual. Finally, some of the counterexamples suggest that David Lewis must countenance ‘would’ counterfactuals in which a covert (...)
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  • Nonfactualism about epistemic modality.Seth Yalcin - 2011 - In Andy Egan & Brian Weatherson (eds.), Epistemic Modality. Oxford, GB: Oxford University Press.
    When I tell you that it’s raining, I describe a way the world is—viz., rainy. I say something whose truth turns on how things are with the weather in the world. Likewise when I tell you that the weatherman thinks that it’s raining. Here the truth of what I say turns on how things are with the weatherman’s state of mind in the world. Likewise when I tell you that I think that it’s raining. Here the truth of what I (...)
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  • Epistemic Containment.Kai von Fintel & Sabine Iatridou - 2003 - Linguistic Inquiry 34:173-98.
    This article concerns a new constraint on the interaction of quantifier phrases and epistemic modals. It is argued that QPs cannot bind their traces across an epistemic modal, though it is shown that scoping mechanisms of a differentnature are permitted to cross epistemic modals. The nature and source of this constraint are investigated.
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  • What conditional probability could not be.Alan Hájek - 2003 - Synthese 137 (3):273--323.
    Kolmogorov''s axiomatization of probability includes the familiarratio formula for conditional probability: 0).$$ " align="middle" border="0">.
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  • Conditional credence.Huw Price - 1986 - Mind 95 (377):18-36.
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  • Probabilities of conditionals and conditional probabilities.David Lewis - 1976 - Philosophical Review 85 (3):297-315.
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  • (1 other version)A nonpragmatic vindication of probabilism.James M. Joyce - 1998 - Philosophy of Science 65 (4):575-603.
    The pragmatic character of the Dutch book argument makes it unsuitable as an "epistemic" justification for the fundamental probabilist dogma that rational partial beliefs must conform to the axioms of probability. To secure an appropriately epistemic justification for this conclusion, one must explain what it means for a system of partial beliefs to accurately represent the state of the world, and then show that partial beliefs that violate the laws of probability are invariably less accurate than they could be otherwise. (...)
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  • On conditionals.Dorothy Edgington - 1995 - Mind 104 (414):235-329.
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  • (1 other version)Generalized quantifiers and natural language.John Barwise & Robin Cooper - 1981 - Linguistics and Philosophy 4 (2):159--219.
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  • (1 other version)A puzzle about belief.Saul A. Kripke - 1979 - In A. Margalit (ed.), Meaning and Use. Reidel. pp. 239--83.
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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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  • Erratum: Probabilities of Conditionals and Conditional Probabilities.David Lewis - 1976 - Philosophical Review 85 (4):561.
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  • (1 other version)Bayesian Expressivism.Seth Yalcin - 2012 - Proceedings of the Aristotelian Society 112 (2pt2):123-160.
    I develop a conception of expressivism according to which it is chiefly a pragmatic thesis about some fragment of discourse, one imposing certain constraints on semantics. The first half of the paper uses credal expressivism about the language of probability as a stalking-horse for this purpose. The second half turns to the question of how one might frame an analogous form of expressivism about the language of deontic modality. Here I offer a preliminary comparison of two expressivist lines. The first, (...)
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  • Bayesianism With A Human Face.Richard C. Jeffrey - 1983 - In John Earman (ed.), Testing Scientific Theories. Minneapolis: University of Minnesota Press. pp. 133--156.
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  • Do Indicative Conditionals Express Propositions?Daniel Rothschild - 2011 - Noûs 47 (1):49-68.
    Discusses how to capture the link between the probability of indicative conditionals and conditional probability using a classical semantics for conditionals.
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  • The Enterprise of Knowledge: An Essay on Knowledge, Credal Probability, and Chance.Isaac Levi - 1980 - MIT Press.
    This major work challenges some widely held positions in epistemology - those of Peirce and Popper on the one hand and those of Quine and Kuhn on the other.
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  • Reason and the grain of belief.Scott Sturgeon - 2008 - Noûs 42 (1):139–165.
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  • How to Believe a Conditional.D. H. Mellor - 1993 - Journal of Philosophy 90 (5):233-248.
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