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  1. Epistemic Utility Theory and the Aim of Belief.Jennifer Rose Carr - 2017 - Philosophy and Phenomenological Research 95 (3):511-534.
    How should rational believers pursue the aim of truth? Epistemic utility theorists have argued that by combining the tools of decision theory with an epistemic form of value—gradational accuracy, proximity to the truth—we can justify various epistemological norms. I argue that deriving these results requires using decision rules that are different in important respects from those used in standard (practical) decision theory. If we use the more familiar decision rules, we can’t justify the epistemic coherence norms that epistemic utility theory (...)
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  • Accuracy and the Laws of Credence.Richard Pettigrew - 2016 - New York, NY.: Oxford University Press UK.
    Richard Pettigrew offers an extended investigation into a particular way of justifying the rational principles that govern our credences. The main principles that he justifies are the central tenets of Bayesian epistemology, though many other related principles are discussed along the way. Pettigrew looks to decision theory in order to ground his argument. He treats an agent's credences as if they were a choice she makes between different options, gives an account of the purely epistemic utility enjoyed by different sets (...)
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  • Spheres of Justice: A Defence of Pluralism and Equality.Michael Walzer - 1983 - Basic Books.
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  • Rational Probabilistic Incoherence.Michael Caie - 2013 - Philosophical Review 122 (4):527-575.
    Probabilism is the view that a rational agent's credences should always be probabilistically coherent. It has been argued that Probabilism follows, given the assumption that an epistemically rational agent ought to try to have credences that represent the world as accurately as possible. The key claim in this argument is that the goal of representing the world as accurately as possible is best served by having credences that are probabilistically coherent. This essay shows that this claim is false. In certain (...)
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  • Probabilistic coherence and proper scoring rules.Joel Predd, Robert Seiringer, Elliott Lieb, Daniel Osherson, H. Vincent Poor & Sanjeev Kulkarni - 2009 - IEEE Transactions on Information Theory 55 (10):4786-4792.
    We provide self-contained proof of a theorem relating probabilistic coherence of forecasts to their non-domination by rival forecasts with respect to any proper scoring rule. The theorem recapitulates insights achieved by other investigators, and clarifi es the connection of coherence and proper scoring rules to Bregman divergence.
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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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  • Chapter 2: Membership.Michael Walzer - 1983 - In Spheres of Justice: A Defence of Pluralism and Equality. Basic Books.
    The idea of distributive justice presupposes a bounded world within which distributions takes place: a group of people committed to dividing, exchanging, and sharing social goods, first of all among themselves. That world, as I have already argued, is the political community, whose members distribute power to one another and avoid, if they possibly can, sharing it with anyone else. When we think about distributive justice, we think about independent cities or countries capable of arranging their own patterns of division (...)
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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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  • (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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  • Interpreting Husserl: Critical and Comparative Studies.J. N. Mohanty - 1989 - Philosophy and Phenomenological Research 49 (4):761-762.
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  • Accuracy and Coherence: Prospects for an Alethic Epistemology of Partial Belief.James M. Joyce - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of belief. London: Springer. pp. 263-297.
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  • Probability Theory. The Logic of Science.Edwin T. Jaynes - 2002 - Cambridge University Press: Cambridge. Edited by G. Larry Bretthorst.
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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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  • Review of Michael Walzer: Spheres of Justice: A Defence of Pluralism and Equality[REVIEW]William A. Galston - 1984 - Ethics 94 (2):329-333.
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  • Commodification and Exploitation in Reproductive Markets: Introduction to the Symposium on Reproductive Markets.Vida Panitch - 2015 - Journal of Applied Philosophy 33 (2):117-124.
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