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  1. Risk and Gambling: The Study of Subjective Probability. [REVIEW]R. A. A. - 1956 - Review of Metaphysics 10 (1):174-174.
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  2. Applying the Jeffrey Decision Model to Rational Betting and Information Acquisition.Ernest W. Adams & Roger D. Rosenkrantz - 1980 - Theory and Decision 12 (1):1-20.
  3. Resolving Neyman's Paradox.Max Albert - 2002 - British Journal for the Philosophy of Science 53 (1):69-76.
    According to Fisher, a hypothesis specifying a density function for X is falsified (at the level of significance ) if the realization of X is in the size- region of lowest densities. However, non-linear transformations of X can map low-density into high-density regions. Apparently, then, falsifications can always be turned into corroborations (and vice versa) by looking at suitable transformations of X (Neyman's Paradox). The present paper shows that, contrary to the view taken in the literature, this provides no argument (...)
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  4. Negative Probabilities and the Uses of Signed Probability Theory.Edward H. Allen - 1976 - Philosophy of Science 43 (1):53-70.
    The use of negative probabilities is discussed for certain problems in which a stochastic process approach is indicated. An extension of probability theory to include signed (negative and positive) probabilities is outlined and both philosophical and axiomatic examinations of negative probabilities are presented. Finally, a class of applications illustrates the use and implications of signed probability theory.
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  5. Theory and Decison.R. Amer, S. Bourdet-Loubère, I. Brocas, R. G. Brody, M. H. Broihanne, D. Cardona-Coll, H. W. Chesson, T. Clausing, P. Corcho & J. M. Coulter - 2003 - Theory and Decision 54 (376).
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  6. Non-Linear Mixed Logit.Steffen Andersen, Glenn W. Harrison, Arne Risa Hole, Morten Lau & E. Elisabet Rutström - 2012 - Theory and Decision 73 (1):77-96.
    We develop an extension of the familiar linear mixed logit model to allow for the direct estimation of parametric non-linear functions defined over structural parameters. Classic applications include the estimation of coefficients of utility functions to characterize risk attitudes and discounting functions to characterize impatience. There are several unexpected benefits of this extension, apart from the ability to directly estimate structural parameters of theoretical interest.
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  7. Information Integration in Risky Decision Making.Norman H. Anderson & James C. Shanteau - 1970 - Journal of Experimental Psychology 84 (3):441.
    Applied a theory of information integration to decision making with probabilistic events. 10 undergraduates judged the subjective worth of duplex bets that included independent gain and lose components. The worth of each component was assumed to be the product of a subjective weight that reflected the probability of winning or losing, and the subjective worth of the money to be won or lost. The total worth of the bet was the sum of the worths of the 2 components. Thus, each (...)
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  8. A Note on the Permutationaly Convex Games.Arturo Anguiano - 1991 - Theory and Decision 30 (2).
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  9. What Makes Induction Rational?David Malet Armstrong - 1991 - Dialogue 30 (4):503-11.
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  10. Probability and Causality. [REVIEW]Frank Arntzenius - 1990 - Philosophy of Science 57 (2):338-340.
    This is a book review of J. H. Fetzer (ed) Probability and Causality.
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  11. Probability All the Way Up.David Atkinson & Jeanne Peijnenburg - 2006 - Synthese 153 (2):187-197.
    Richard Jeffrey’s radical probabilism (‘probability all the way down’) is augmented by the claim that probability cannot be turned into certainty, except by data that logically exclude all alternatives. Once we start being uncertain, no amount of updating will free us from the treadmill of uncertainty. This claim is cast first in objectivist and then in subjectivist terms.
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  12. Probability as a Theory Dependent Concept.David Atkinson & Jeanne Peijnenburg - 1999 - Synthese 118 (3):307-328.
    It is argued that probability should be defined implicitly by the distributions of possible measurement values characteristic of a theory. These distributions are tested by, but not defined in terms of, relative frequencies of occurrences of events of a specified kind. The adoption of an a priori probability in an empirical investigation constitutes part of the formulation of a theory. In particular, an assumption of equiprobability in a given situation is merely one hypothesis inter alia, which can be tested, like (...)
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  13. Betting and Gambling, a Paper.James Augustus Atkinson - 1897
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  14. Proceedings of the 9th International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2015).Thomas Augistin, Serena Dora, Enrique Miranda & Erik Quaeghebeur (eds.) - 2015 - Aracne Editrice.
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  15. On the Probability of Particular Events.Alfred Jules Ayer - 1961 - Revue Internationale de Philosophie 15 (58):366-75.
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  16. A Theory of Rational Decision in Games.Michael Bacharach - 1987 - Erkenntnis 27 (1):17 - 55.
  17. Essays in the Foundations of Decision Theory.Michael Bacharach & Susan Hurley (eds.) - 1991 - Blackwell.
  18. How to Commit the Gambler's Fallacy and Get Away with It.Davis Baird & Richard E. Otte - 1982 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:169 - 180.
    In a recent article Ian Hacking argues that there can be cases where no probabilities may correctly be ascribed to individual members of a population, while probabilities are correctly ascribable to the population as a whole. In this paper a simple artificial coin-flipping model for such probabilities, not 'grounded from below' is constructed. The inferences licensed by this model and a consequence of the model for the theory of statistical tests is explored.
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  19. Towards a General Theory of Evidential Reasoning.James F. Baldwin - 1991 - In B. Bouchon-Meunier, R. R. Yager & L. A. Zadeh (eds.), Uncertainty in Knowledge Bases. Springer. pp. 359--369.
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  20. How to Solve Probability Teasers.Maya Bar-Hillel - 1989 - Philosophy of Science 56 (2):348-358.
    Recently, Nathan (1986) criticized Bar-Hillel and Falk's (1982) analysis of some classical probability puzzles on the grounds that they wrongheadedly applied mathematics to the solving of problems suffering from "ambiguous informalities". Nathan's prescription for solving such problems boils down to assuring in advance that they are uniquely and formally soluble--though he says little about how this is to be done. Unfortunately, in real life problems seldom show concern as to whether their naturally occurring formulation is or is not ambiguous, does (...)
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  21. Two Examples in Noncommutative Probability.Dror Bar-Natan - 1989 - Foundations of Physics 19 (1):97-104.
    A simple noncommutative probability theory is presented, and two examples for the difference between that theory and the classical theory are shown. The first example is the well-known formulation of the Heisenberg uncertainty principle in terms of a variance inequality and the second example is an interpretatio of the Bell paradox in terms of noncommuntative probability.
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  22. Predetermination and Tense Probabilism.Stephen J. Barker - 1998 - Analysis 58 (4):290–296.
  23. Philosophy and Probability.Samuel Barnett - 1921 - Philosophical Review 30 (6):585-601.
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  24. Causality, Probability and Organization.E. Bass Robert - 1951 - Philosophy and Phenomenological Research 12 (4):562-564.
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  25. Some Difficulties in the Theory of Probability.Walter Arthur Bass - 1953 - Dissertation, University of Virginia
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  26. “Memory of Water” Without Water: Modeling of Benveniste’s Experiments with a Personalist Interpretation of Probability.Francis Beauvais - 2016 - Axiomathes 26 (3):329-345.
    Benveniste’s experiments were at the origin of a scientific controversy that has never been satisfactorily resolved. Hypotheses based on modifications of water structure that were proposed to explain these experiments were generally considered as quite improbable. In the present paper, we show that Benveniste’s experiments violated the law of total probability, one of the pillars of classical probability theory. Although this could suggest that quantum logic was at work, the decoherence process is however at first sight an obstacle to describe (...)
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  27. Decision Making: Objective Measures of Subjective Probability and Utility.Gordon M. Becker - 1962 - Psychological Review 69 (2):136-148.
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  28. Probability as a Guide to Life.Helen Beebee & David Papineau - 1997 - Journal of Philosophy 94 (5):217.
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  29. The World According to de Finetti: On de Finetti's Theory of Probability and Its Application to Quantum Mechanics.Joseph Berkovitz - 2012 - In Yemima Ben-Menahem & Meir Hemmo (eds.), Probability in Physics. Springer. pp. 249--280.
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  30. Betting and Gambling, a Paper by a Student. Betting - 1895
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  31. Knowledge, Belief and Strategic Interaction.Bicchieri Cristina & Dalla Chiara Maria Luisa (eds.) - 1992 - Cambridge University Press.
    There has been a great deal of interaction among game theorists, philosophers and logicians in certain foundational problems concerning rationality, the formalization of knowledge and practical reasoning, and models of learning and deliberation. This volume brings together the work of some of the pre-eminent figures in their respective disciplines, all of whom are engaged in research at the forefront of their fields. Together they offer a conspectus of the interaction of game theory, logic and epistemology in the formal models of (...)
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  32. Common Reasoning About Admissibility.Cristina Bicchieri & Oliver Schulte - 1996 - Erkenntnis 45 (2-3):299 - 325.
    We analyze common reasoning about admissibility in the strategic and extensive form of a game. We define a notion of sequential proper admissibility in the extensive form, and show that, in finite extensive games with perfect recall, the strategies that are consistent with common reasoning about sequential proper admissibility in the extensive form are exactly those that are consistent with common reasoning about admissibility in the strategic form representation of the game. Thus in such games the solution given by common (...)
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  33. Rational Eye Movements in Reading Combining Uncertainty About Previous Words with Contextual Probability.Klinton Bicknell & Roger Levy - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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  34. Measure and Probability.Patrick Billingsley - 1995 - John Wiley & Sons: New York.
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  35. On the Foundations of Statistical Inference.Allan Birnbaum - 1962 - Journal of the American Statistical Association 57 (298):269--306.
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  36. Statistical Analyses.Glenys Bishop - 2013 - In Katrina Hutchison & Fiona Jenkins (eds.), Women in Philosophy: What Needs to Change? Oup Usa. pp. 253.
  37. Probability and Infinite Sets.Thomas Bittner - 1993 - Cogito 7 (2):150-152.
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  38. "When Do I Get My Money" a Probabilistic Theory of Knowledge.Jonny Blamey - 2011 - Dissertation, KCL
    The value of knowledge can vary in that knowledge of important facts is more valuable than knowledge of trivialities. This variation in the value of knowledge is mirrored by a variation in evidential standards. Matters of greater importance require greater evidential support. But all knowledge, however trivial, needs to be evidentially certain. So on one hand we have a variable evidential standard that depends on the value of the knowledge, and on the other, we have the invariant standard of evidential (...)
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  39. An Experimental Test of Generalized Ambiguity Aversion Using Lottery Pricing Tasks.Michael Bleaney & Steven J. Humphrey - 2006 - Theory and Decision 60 (2-3):257-282.
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  40. Betting and Gambling, a Paper.Richard Frederick L. Blunt - 1902
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  41. Probabilities of Probabilities.Karl Borch - 1975 - Theory and Decision 6 (2):155-159.
  42. Specification of Objectives in Decision Problems.Karl Borch - 1970 - Theory and Decision 1 (1):5-21.
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  43. What Are the Philosophical Probabilities ?Nicolas Bouleau - unknown
  44. The Representation of Beliefs and Desires Within Decision Theory.Richard W. Bradley - 1997 - Dissertation, The University of Chicago
    This dissertation interprets the lack of uniqueness in probability representations of agents' degrees of belief in the decision theory of Richard Jeffrey as a formal statement of an important epistemological problem: the underdetermination of our attributions of belief and desire to agents by the evidence of their observed behaviour. A solution is pursued through investigation of agents' attitudes to information of a conditional nature. ;As a first step, Jeffrey's theory is extended to agents' conditional attitudes of belief and desire by (...)
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  45. Nonclassical Probability and Convex Hulls.Seamus Bradley - 2017 - Erkenntnis 82 (1):87-101.
    It is well known that the convex hull of the classical truth value functions contains all and only the probability functions. Work by Paris and Williams has shown that this also holds for various kinds of nonclassical logics too. This note summarises the formal details of this topic and extends the results slightly.
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  46. Theory and Decison.Richard G. Brody, John M. Coulter, Alireza Daneshfar, Auditor Probability Judgments, Discounting Unspecified Possibilities, Paula Corcho, José Luis Ferreira & Generalized Externality Games - 2003 - Theory and Decision 54:375-376.
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  47. A Process Ontology.Haines Brown - 2014 - Axiomathes 24 (3):291-312.
    The paper assumes that to be of practical interest process must be understood as physical action that takes place in the world rather than being an idea in the mind. It argues that if an ontology of process is to accommodate actuality, it must be represented in terms of relative probabilities. Folk physics cannot accommodate this, and so the paper appeals to scientific culture because it is an emergent knowledge of the world derived from action in it. Process is represented (...)
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  48. Curious and Sublime: The Connection Between Uncertainty and Probability in Physics.Harvey R. Brown - unknown
    From its first significant appearance in physics, the notion of probability has been linked in the minds of physicists with the notion of uncertainty. But the link may prove to be tenuous, if quantum mechanics, construed in terms of the Everett interpretation, is anything to go by.
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  49. On “Epistemic Permissiveness”.Anthony Brueckner & Alex Bundy - 2012 - Synthese 188 (2):165-177.
    In "Epistemic Permissiveness", Roger White presents several arguments against Extreme Permissivism, the view that there are possible cases where, given one's total evidence, it would be rational to either believe P, or to believe ~P. In this paper, we carefully reconstruct White's arguments and then argue that they do not succeed.
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  50. A Subjective Appraisal of the Probability of Happenings Related by Children From 8 to 15 Years of Age.Franciszek Bujak - 1975 - Roczniki Filozoficzne 23 (4):120.
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