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  1. Preference-based arguments for probabilism.David Christensen - 2001 - Philosophy of Science 68 (3):356-376.
    Both Representation Theorem Arguments and Dutch Book Arguments support taking probabilistic coherence as an epistemic norm. Both depend on connecting beliefs to preferences, which are not clearly within the epistemic domain. Moreover, these connections are standardly grounded in questionable definitional/metaphysical claims. The paper argues that these definitional/metaphysical claims are insupportable. It offers a way of reconceiving Representation Theorem arguments which avoids the untenable premises. It then develops a parallel approach to Dutch Book Arguments, and compares the results. In each case (...)
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  • Representation theorems and realism about degrees of belief.Lyle Zynda - 2000 - Philosophy of Science 67 (1):45-69.
    The representation theorems of expected utility theory show that having certain types of preferences is both necessary and sufficient for being representable as having subjective probabilities. However, unless the expected utility framework is simply assumed, such preferences are also consistent with being representable as having degrees of belief that do not obey the laws of probability. This fact shows that being representable as having subjective probabilities is not necessarily the same as having subjective probabilities. Probabilism can be defended on the (...)
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  • An impossibility theorem for amalgamating evidence.Jacob Stegenga - 2013 - Synthese 190 (12):2391-2411.
    Amalgamating evidence of different kinds for the same hypothesis into an overall confirmation is analogous, I argue, to amalgamating individuals’ preferences into a group preference. The latter faces well-known impossibility theorems, most famously “Arrow’s Theorem”. Once the analogy between amalgamating evidence and amalgamating preferences is tight, it is obvious that amalgamating evidence might face a theorem similar to Arrow’s. I prove that this is so, and end by discussing the plausibility of the axioms required for the theorem.
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  • Theory Choice and Social Choice: Kuhn versus Arrow.Samir Okasha - 2011 - Mind 120 (477):83-115.
    Kuhn’s famous thesis that there is ‘no unique algorithm’ for choosing between rival scientific theories is analysed using the machinery of social choice theory. It is shown that the problem of theory choice as posed by Kuhn is formally identical to a standard social choice problem. This suggests that analogues of well-known results from the social choice literature, such as Arrow’s impossibility theorem, may apply to theory choice. If an analogue of Arrow’s theorem does hold for theory choice this would (...)
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  • Representation theorems and the foundations of decision theory.Christopher J. G. Meacham & Jonathan Weisberg - 2011 - Australasian Journal of Philosophy 89 (4):641 - 663.
    Representation theorems are often taken to provide the foundations for decision theory. First, they are taken to characterize degrees of belief and utilities. Second, they are taken to justify two fundamental rules of rationality: that we should have probabilistic degrees of belief and that we should act as expected utility maximizers. We argue that representation theorems cannot serve either of these foundational purposes, and that recent attempts to defend the foundational importance of representation theorems are unsuccessful. As a result, we (...)
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  • The division of cognitive labor.Philip Kitcher - 1990 - Journal of Philosophy 87 (1):5-22.
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  • Paradoxes of infinity and self-applications, I.Haim Gaifman - 1983 - Erkenntnis 20 (2):131 - 155.
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  • Primer in Social Choice Theory.Wulf Gaertner - 2006 - Oxford University Press UK.
    This introductory text explores the theory of social choice. Written as a primer suitable for advanced undergraduates and graduates, this text will act as an important starting point for students grappling with the complexities of social choice theory. Rigorous yet accessible, this primer avoids the use of technical language and provides an up-to-date discussion of this rapidly developing field. This is the first in a series of texts published in association with the LSE.
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  • Foundations of Measurement, Vol. I: Additive and Polynomial Representations.David Krantz, Duncan Luce, Patrick Suppes & Amos Tversky (eds.) - 1971 - New York Academic Press.
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  • The Division of Cognitive Labor.Philip Kitcher - 1990 - Journal of Philosophy 87 (1):5-22.
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  • Cognitive and Non-Cognitive Values in Science: Rethinking the Dichotomy.Helen E. Longino - 1996 - In Lynn Hankinson Nelson & Jack Nelson (eds.), Feminism, Science, and the Philosophy of Science. Kluwer Academic Publishers. pp. 39--58.
    Underdetermination arguments support the conclusion that no amount of empirical data can uniquely determine theory choice. The full content of a theory outreaches those elements of it (the observational elements) that can be shown to be true (or in agreement with actual observations).2 A number of strategies have been developed to minimize the threat such arguments pose to our aspirations to scientific knowledge. I want to focus on one such strategy: the invocation of additional criteria drawn from a pool of (...)
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  • Expected Utility Theory.Simon Grant & Timothy Van Zandt - 2009 - In Paul Anand, Prasanta Pattanaik & Clemens Puppe (eds.), Handbook of Rational and Social Choice. Oxford University Press.
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