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  1. On Fair Countable Lotteries.Casper Storm Hansen - 2017 - Philosophical Studies 174 (11):2787-2794.
    Two reverse supertasks—one new and one invented by Pérez Laraudogoitia —are discussed. Contra Kerkvliet and Pérez Laraudogoitia, it is argued that these supertasks cannot be used to conduct fair infinite lotteries, i.e., lotteries on the set of natural numbers with a uniform probability distribution. The new supertask involves an infinity of gods who collectively select a natural number by each removing one ball from a collection of initially infinitely many balls in a reverse omega-sequence of actions.
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  2. 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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  3. Psychological Processes in Decision Making: Probabilities, Risk and Chance.Tadeusz Tyszka & Ola Svenson - 2014 - Polish Psychological Bulletin 45 (1):1-2.
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  4. Format Dependent Probabilities: An Eye-Tracking Analysis of Additivity Neglect.Karl Halvor Teigen, Unni Sulutvedt & Anine H. Riege - 2014 - Polish Psychological Bulletin 45 (1):12-20.
    When people are asked to estimate the probabilities of uncertain events, they often neglect the additivity principle, which requires that the probabilities assigned to an exhaustive set of outcomes should add up to 100%. Previous studies indicate that additivity neglect is dependent on response format, self-generated probability estimates being more coherent than estimates on rating scales. The present study made use of eye-tracking methodology, recording the movement, frequency and duration of fixations during the solution of ten additivity problems and two (...)
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  5. Rationality and Coordination Cambridge Studies in Probability, Induction, and Decision Theory.Cristina Bicchieri - 1993
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  6. Infinite Decisions and Rationally Negligible Probabilities.Nicholas J. J. Smith - 2016 - Mind (500):1-14.
    I have argued for a picture of decision theory centred on the principle of Rationally Negligible Probabilities. Isaacs argues against this picture on the grounds that it has an untenable implication. I first examine whether my view really has this implication; this involves a discussion of the legitimacy or otherwise of infinite decisions. I then examine whether the implication is really undesirable and conclude that it is not.
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  7. Taking Chances.Brian Skyrms & Jordan Howard Sobel - 1996 - Philosophical Review 105 (3):410.
  8. Statistical and Inductive Probabilities.Henry E. Kyburg & Hugues Leblanc - 1964 - Philosophical Review 73 (2):269.
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  9. “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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  10. Fuzziness and Probability.Mutsuo M. Yanase - 1985 - Annals of the Japan Association for Philosophy of Science 6 (5):219-226.
  11. Probability as a Guide to Life.Helen Beebee & David Papineau - 1997 - Journal of Philosophy 94 (5):217.
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  12. Stacking Fault Probabilities in B.C.C. Zr-Mo Alloys.D. H. Sastry, M. J. Luton & J. J. Jonas - 1974 - Philosophical Magazine 30 (5):1187-1190.
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  13. A Statistical Theory of Ionospheric Drifts.J. P. Dougherty - 1960 - Philosophical Magazine 5 (54):553-570.
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  14. Effect of Entropy on the Dynamics of Supercooled Liquids: New Results From High Pressure Data.R. Casalini & C. M. Roland - 2007 - Philosophical Magazine 87 (3-5):459-467.
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  15. PAUL M. M. KLEP and IDA H. STAMHUIS , The Statistical Mind in a Pre-Statistical Era: The Netherlands 1750–1850. Askant: Amsterdam, 2002. Pp. 374. ISBN 90-5742-0341. No Price Given. [REVIEW]M. Eileen Magnello - 2006 - British Journal for the History of Science 39 (3):449.
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  16. The History of EmergencesIan Hacking. The Emergence of Probability: A Philosophical Study of Early Ideas About Probability, Induction, and Statistical Inference. 2nd Edition. 209 Pp. + Unpaginated Introduction, Bibl., Index. New York: Cambridge University Press, 2006. $24.99. [REVIEW]Lorraine Daston - 2007 - Isis 98 (4):801-808.
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  17. Paul M. M. Klep;, Ida H. Stamhuis . The Statistical Mind in a Pre‐Statistical Era: The Netherlands, 1750–1850. 374 Pp., Frontis., Illus., Bibl., Indexes. Amsterdam: Aksant, 2002. $29.95. [REVIEW]Andrea Rusnock - 2004 - Isis 95 (3):508-509.
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  18. The Emergence of Probability. A Philosophical Study of Early Ideas About Probability, Induction and Statistical Inference. Ian Hacking.Mary Hesse - 1976 - Isis 67 (4):624-625.
  19. Probability and Statistical Inference in Ancient and Medieval Jewish Literature. Nachum L. Rabinovitch.Bernard R. Goldstein - 1975 - Isis 66 (3):414-415.
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  20. Decision Making: Objective Measures of Subjective Probability and Utility.Gordon M. Becker - 1962 - Psychological Review 69 (2):136-148.
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  21. Subjective Probability and Decision Under Uncertainty.N. T. Feather - 1959 - Psychological Review 66 (3):150-164.
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  22. The Concept of Statistical Significance and the Controversy About One-Tailed Tests.H. J. Eysenck - 1960 - Psychological Review 67 (4):269-271.
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  23. Directional Statistical Decisions.Henry F. Kaiser - 1960 - Psychological Review 67 (3):160-167.
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  24. A Statistical Study of Belief.Francis Bertody Sumner - 1898 - Psychological Review 5 (6):616-631.
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  25. Heterochromatic Additivity Failure.Gerald S. Wasserman - 1969 - Psychological Review 76 (2):221-223.
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  26. Support Theory: A Nonextensional Representation of Subjective Probability.Amos Tversky & Derek J. Koehler - 1994 - Psychological Review 101 (4):547-567.
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  27. Decision Theory as a Branch of Evolutionary Theory: A Biological Derivation of the Savage Axioms.William S. Cooper - 1987 - Psychological Review 94 (4):395-411.
  28. Probability as a Measure of Necessity.N. V. Khovanov - 1970 - Russian Studies in Philosophy 9 (2):141-151.
    One of the characteristic features of the dynamic development of science and technology in recent decades is the constantly rising significance of probabilistic, statistical and information-theory methods in research, both theoretical and applied. Nor is the mathematical theory of probability standing still. The internal logic of its development is leading steadily to enrichment of the traditional study of probability with new axioms and constructive formal calculi.
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  29. Probability.Darrell Patrick Rowbottom - unknown
    When a doctor tells you there’s a one percent chance that an operation will result in your death, or a scientist claims that his theory is probably true, what exactly does that mean? Understanding probability is clearly very important, if we are to make good theoretical and practical choices. In this engaging and highly accessible introduction to the philosophy of probability, Darrell Rowbottom takes the reader on a journey through all the major interpretations of probability, with reference to real–world situations. (...)
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  30. Hegel's Philosophical Psychology.Luca Corti - 2016
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  31. Do Pragmatic Arguments Show Too Much?Martin Peterson - 2016 - European Journal for Philosophy of Science 6 (2):165-172.
    Pragmatic arguments seek to demonstrate that you can be placed in a situation in which you will face a sure and foreseeable loss if you do not behave in accordance with some principle P. In this article I show that for every P entailed by the principle of maximizing expected utility you will not be better off from a pragmatic point of view if you accept P than if you don’t, because even if you obey the axioms of expected utility (...)
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  32. 29. Comparing Utilities.Daniel Goldstick - 2009 - In Reason, Truth and Reality. University of Toronto Press. pp. 292-301.
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  33. A Study in Probability.D. Taylor - 1935 - Australasian Journal of Psychology and Philosophy 13 (4):290-298.
  34. Counterfactuals and Epistemic Probability.R. Otte - 2006 - Synthese 152 (1):81-93.
    Philosophers have often attempted to use counterfactual conditionals to analyze probability. This article focuses on counterfactual analyzes of epistemic probability by Alvin Plantinga and Peter van Inwagen. I argue that a certain type of counterfactual situation creates problems for these analyses. I then argue that Plantinga's intuition about the role of warrant in epistemic probability is mistaken. Both van Inwagen's and Plantinga's intuitions about epistemic probability are flawed.
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  35. Probability Dynamics.Amos Nathan - 2006 - Synthese 148 (1):229-256.
    ‘Probability dynamics’ (PD) is a second-order probabilistic theory in which probability distribution d X = (P(X 1), . . . , P(X m )) on partition U m X of sample space Ω is weighted by ‘credence’ (c) ranging from −∞ to +∞. c is the relative degree of certainty of d X in ‘α-evidence’ α X =[c; d X ] on U m X . It is shown that higher-order probabilities cannot provide a theory of PD. PD applies to (...)
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  36. Indifference, Neutrality and Informativeness: Generalizing the Three Prisoners Paradox.Sergio Wechsler, L. G. Esteves, A. Simonis & C. Peixoto - 2005 - Synthese 143 (3):255-272.
    . The uniform prior distribution is often seen as a mathematical description of noninformativeness. This paper uses the well-known Three Prisoners Paradox to examine the impossibility of maintaining noninformativeness throughout hierarchization. The Paradox has been solved by Bayesian conditioning over the choice made by the Warder when asked to name a prisoner who will be shot. We generalize the paradox to situations of N prisoners, k executions and m announcements made by the Warder. We then extend the consequences of hierarchically (...)
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  37. The No Probabilities For Acts-Principle.Marion Ledwig - 2005 - Synthese 144 (2):171-180.
    One can interpret the No Probabilities for Acts-Principle, namely that any adequate quantitative decision model must in no way contain subjective probabilities for actions in two ways: it can either refer to actions that are performable now and extend into the future or it can refer to actions that are not performable now, but will be in the future. In this paper, I will show that the former is the better interpretation of the principle.
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  38. Foundations of Probability with Applications: Selected Papers 1974–1995.Patrick Suppes & Mario Zanotti - 1996 - Cambridge University Press.
    This is an important collection of essays dealing with the foundations of probability that will be of value to philosophers of science, mathematicians, statisticians, psychologists and educationalists. The collection falls into three parts. Part I comprises five essays on the axiomatic foundations of probability. Part II contains seven articles on probabilistic causality and quantum mechanics, with an emphasis on the existence of hidden variables. The third part consists of a single extended essay applying probabilistic theories of learning to practical questions (...)
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  39. Equilibrium and Rationality: Game Theory Revised by Decision Rules.Paul Weirich - 1998 - Cambridge University Press.
    This book represents a major contribution to game theory. It offers this conception of equilibrium in games: strategic equilibrium. This conception arises from a study of expected utility decision principles, which must be revised to take account of the evidence a choice provides concerning its outcome. The argument for these principles distinguishes reasons for action from incentives, and draws on contemporary analyses of counterfactual conditionals. The book also includes a procedure for identifying strategic equilibria in ideal normal-form games. In synthesizing (...)
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  40. Subjective Probability and Quantum Certainty.Carlton M. Caves, Christopher A. Fuchs & Rüdiger Schack - 2007 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 38 (2):255-274.
  41. Probability as Typicality.Sérgio B. Volchan - 2007 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 38 (4):801-814.
  42. Uncertainty and Probability for Branching Selves.Peter J. Lewis - 2007 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 38 (1):1-14.
    Everettian accounts of quantum mechanics entail that people branch; every possible result of a measurement actually occurs, and I have one successor for each result. Is there room for probability in such an account? The prima facie answer is no; there are no ontic chances here, and no ignorance about what will happen. But since any adequate quantum mechanical theory must make probabilistic predictions, much recent philosophical labor has gone into trying to construct an account of probability for branching selves. (...)
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  43. Measure and Probability.Patrick Billingsley - 1995 - John Wiley & Sons: New York.
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  44. On the Foundations of Statistical Inference.Allan Birnbaum - 1962 - Journal of the American Statistical Association 57 (298):269--306.
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  45. Statistical Decision Functions Which Minimize the Maximum Risk.Abraham Wald - 1945 - Annals of Mathematics 46:265--280.
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  46. Fast Quantum Algorithms for Handling Probabilistic and Interval Uncertainty.Vladik Kreinovich & Luc Longpré - 2004 - Mathematical Logic Quarterly 50 (45):405-416.
    In many real-life situations, we are interested in the value of a physical quantity y that is difficult or impossible to measure directly. To estimate y, we find some easier-to-measure quantities x1, … , xn which are related to y by a known relation y = f. Measurements are never 100% accurate; hence, the measured values equation image are different from xi, and the resulting estimate equation image is different from the desired value y = f. How different can it (...)
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  47. Imprecise Probability: Theories and Applications.Fabio Cozman, Sebastien Destercke & Teddy Seidenfeld - unknown
    This special issue of the International Journal of Approximate Reasoning grew out of the 8th International Symposium on Imprecise Probability: Theories and Applications. The symposium was organized by the Society for Imprecise Probability: Theories and Applications at the Université de Technologie de Compiègne in July 2013. The biennial ISIPTA meetings are well established among international conferences on generalized methods for uncertainty quantification. The first ISIPTA took place in Gent in 1999, followed by meetings in Cornell, Lugano, Carnegie Mellon, Prague, Durham (...)
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  48. Measure, Topology and Probabilistic Reasoning in Cosmology.Erik Curiel - unknown
    I explain the difficulty of making various concepts of and relating to probability precise, rigorous and physically significant when attempting to apply them in reasoning about objects living in infinite-dimensional spaces, working through many examples from cosmology. I focus on the relation of topological to measure-theoretic notions of and relating to probability, how they diverge in unpleasant ways in the infinite-dimensional case, and are even difficult to work with on their own. Even in cases where an appropriate family of spacetimes (...)
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  49. 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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  50. Aggregating Infinitely Many Probability Measures.Frederik Herzberg - 2015 - Theory and Decision 78 (2):319-337.
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