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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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  • Counterfactuals and Two Kinds of Expected Utility.Allan Gibbard & William L. Harper - 1978 - In A. Hooker, J. J. Leach & E. F. McClennen (eds.), Foundations and Applications of Decision Theory: Vol.II: Epistemic and Social Applications. D. Reidel. pp. 125-162.
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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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  • A foundation for causal decision theory.Brad Armendt - 1986 - Topoi 5 (1):3-19.
    The primary aim of this paper is the presentation of a foundation for causal decision theory. This is worth doing because causal decision theory (CDT) is philosophically the most adequate rational decision theory now available. I will not defend that claim here by elaborate comparison of the theory with all its competitors, but by providing the foundation. This puts the theory on an equal footing with competitors for which foundations have already been given. It turns out that it will also (...)
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  • Causal decision theory.David Lewis - 1981 - Australasian Journal of Philosophy 59 (1):5 – 30.
    Newcomb's problem and similar cases show the need to incorporate causal distinctions into the theory of rational decision; the usual noncausal decision theory, though simpler, does not always give the right answers. I give my own version of causal decision theory, compare it with versions offered by several other authors, and suggest that the versions have more in common than meets the eye.
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  • A simultaneous axiomatization of utility and subjective probability.Ethan D. Bolker - 1967 - Philosophy of Science 34 (4):333-340.
    This paper contributes to the mathematical foundations of the model for utility theory developed by Richard Jeffrey in The Logic of Decision [5]. In it I discuss the relationship of Jeffrey's to classical models, state and interpret an existence theorem for numerical utilities and subjective probabilities and restate a theorem on their uniqueness.
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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)The Foundations of Mathematics and other Logical Essays.Frank Plumpton Ramsey, R. B. Braithwaite & G. E. Moore - 1931 - Mind 40 (160):476-482.
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  • Pragmatics and Empiricism.Brian Skyrms - 1986 - British Journal for the Philosophy of Science 37 (4):514-516.
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  • A representation theorem for a decision theory with conditionals.Richard Bradley - 1998 - Synthese 116 (2):187-229.
    This paper investigates the role of conditionals in hypothetical reasoning and rational decision making. Its main result is a proof of a representation theorem for preferences defined on sets of sentences (and, in particular, conditional sentences), where an agent’s preference for one sentence over another is understood to be a preference for receiving the news conveyed by the former. The theorem shows that a rational preference ordering of conditional sentences determines probability and desirability representations of the agent’s degrees of belief (...)
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  • Probabilities of conditionals and conditional probabilities II.David Lewis - 1986 - Philosophical Review 95 (4):581-589.
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  • Axiomatizing the logic of decision.Richard C. Jeffrey - 1978 - In A. Hooker, J. J. Leach & E. F. McClennen (eds.), Foundations and Applications of Decision Theory: Vol.II: Epistemic and Social Applications. D. Reidel. pp. 227--231.
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  • Taking Chances: Essays on Rational Choice.Jordan Howard Sobel - 1995 - British Journal for the Philosophy of Science 46 (4):628-630.
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