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  1. Decision Theory without Luminosity.Yoaav Isaacs & Benjamin A. Levinstein - 2024 - Mind 133 (530):346-376.
    Our decision-theoretic states are not luminous. We are imperfectly reliable at identifying our own credences, utilities and available acts, and thus can never be more than imperfectly reliable at identifying the prescriptions of decision theory. The lack of luminosity affords decision theory a remarkable opportunity — to issue guidance on the basis of epistemically inaccessible facts. We show how a decision theory can guarantee action in accordance with contingent truths about which an agent is arbitrarily uncertain. It may seem that (...)
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  • Measuring inconsistency in probabilistic logic: rationality postulates and Dutch book interpretation.Glauber De Bona & Marcelo Finger - 2015 - Artificial Intelligence 227 (C):140-164.
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  • Externalism and exploitability.Nilanjan Das - 2020 - Philosophy and Phenomenological Research 104 (1):101-128.
    According to Bayesian orthodoxy, an agent should update---or at least should plan to update---her credences by conditionalization. Some have defended this claim by means of a diachronic Dutch book argument. They say: an agent who does not plan to update her credences by conditionalization is vulnerable (by her own lights) to a diachronic Dutch book, i.e., a sequence of bets which, when accepted, guarantee loss of utility. Here, I show that this argument is in tension with evidence externalism, i.e., the (...)
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  • Probability logic and F-coherence.A. I. Dale - 1976 - Philosophy of Science 43 (2):254-265.
    In order that a degree-of-belief function be coherent it is necessary and sufficient that it satisfy the axioms of probability theory. This theorem relies heavily for its proof on the two-valued sentential calculus, which emerges as a limiting case of a continuous scale of truth-values. In this “continuum of certainty” a theorem analogous to that instanced above is proved.
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  • Pragmatic Probability.Newton C. A. Da Costa - 1986 - Erkenntnis 25 (2):141 - 162.
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  • Problematyka indukcji w pracach i działalności Kazimierza Ajdukiewicza.Zbigniew Czerwiński - 1965 - Studia Logica 16 (1):31-38.
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  • Pragmatic probability.Newton C. A. Costa - 1986 - Erkenntnis 25 (2):141-162.
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  • Making Ado Without Expectations.Mark Colyvan & Alan Hájek - 2016 - Mind 125 (499):829-857.
    This paper is a response to Paul Bartha’s ‘Making Do Without Expectations’. We provide an assessment of the strengths and limitations of two notable extensions of standard decision theory: relative expectation theory and Paul Bartha’s relative utility theory. These extensions are designed to provide intuitive answers to some well-known problems in decision theory involving gaps in expectations. We argue that both RET and RUT go some way towards providing solutions to the problems in question but neither extension solves all the (...)
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  • Why Ideal Epistemology?Jennifer Rose Carr - 2021 - Mind 131 (524):1131-1162.
    Ideal epistemologists investigate the nature of pure epistemic rationality, abstracting away from human cognitive limitations. Non-ideal epistemologists investigate epistemic norms that are satisfiable by most humans, most of the time. Ideal epistemology faces a number of challenges, aimed at both its substantive commitments and its philosophical worth. This paper explains the relation between ideal and non-ideal epistemology, with the aim of justifying ideal epistemology. Its approach is meta-epistemological, focusing on the meaning and purpose of epistemic evaluations. I provide an account (...)
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  • Notes on probability and induction.Rudolf Carnap - 1973 - Synthese 25 (3-4):269 - 298.
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  • Foundations of Probability.Rachael Briggs - 2015 - Journal of Philosophical Logic 44 (6):625-640.
    The foundations of probability are viewed through the lens of the subjectivist interpretation. This article surveys conditional probability, arguments for probabilism, probability dynamics, and the evidential and subjective interpretations of probability.
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  • How to Believe Long Conjunctions of Beliefs: Probability, Quasi-Dogmatism and Contextualism.Stefano Bonzio, Gustavo Cevolani & Tommaso Flaminio - 2021 - Erkenntnis 88 (3):965-990.
    According to the so-called Lockean thesis, a rational agent believes a proposition just in case its probability is sufficiently high, i.e., greater than some suitably fixed threshold. The Preface paradox is usually taken to show that the Lockean thesis is untenable, if one also assumes that rational agents should believe the conjunction of their own beliefs: high probability and rational belief are in a sense incompatible. In this paper, we show that this is not the case in general. More precisely, (...)
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  • Franco Montagna’s Work on Provability Logic and Many-valued Logic.Lev Beklemishev & Tommaso Flaminio - 2016 - Studia Logica 104 (1):1-46.
    Franco Montagna, a prominent logician and one of the leaders of the Italian school on Mathematical Logic, passed away on February 18, 2015. We survey some of his results and ideas in the two disciplines he greatly contributed along his career: provability logic and many-valued logic.
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  • Scotching Dutch Books?Alan Hájek - 2005 - Philosophical Perspectives 19 (1):139-151.
    The Dutch Book argument, like Route 66, is about to turn 80. It is arguably the most celebrated argument for subjective Bayesianism. Start by rejecting the Cartesian idea that doxastic attitudes are ‘all-or-nothing’; rather, they are far more nuanced degrees of belief, for short credences, susceptible to fine-grained numerical measurement. Add a coherentist assumption that the rationality of a doxastic state consists in its internal consistency. The remaining problem is to determine what consistency of credences amounts to. The Dutch Book (...)
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  • Non-additive degrees of belief.Rolf Haenni - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of belief. London: Springer. pp. 121--159.
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  • Arguments For—Or Against—Probabilism?Alan Hájek - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of belief. London: Springer. pp. 229--251.
    Four important arguments for probabilism—the Dutch Book, representation theorem, calibration, and gradational accuracy arguments—have a strikingly similar structure. Each begins with a mathematical theorem, a conditional with an existentially quantified consequent, of the general form: if your credences are not probabilities, then there is a way in which your rationality is impugned. Each argument concludes that rationality requires your credences to be probabilities. I contend that each argument is invalid as formulated. In each case there is a mirror-image theorem and (...)
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  • 24 Reflections on Infinite Utility and Deliberation in Pascal’s Wager.Alan Hájek - 2024 - In Mirosław Szatkowski (ed.), Ontology of Divinity. De Gruyter. pp. 493-510.
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  • Ontology of Divinity.Mirosław Szatkowski (ed.) - 2024 - De Gruyter.
    This volume announces a new era in the philosophy of God. Many of its contributions work to create stronger links between the philosophy of God, on the one hand, and mathematics or metamathematics, on the other hand. It is about not only the possibilities of applying mathematics or metamathematics to questions about God, but also the reverse question: Does the philosophy of God have anything to offer mathematics or metamathematics? The remaining contributions tackle stereotypes in the philosophy of religion. The (...)
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  • The Theory of Questions, Epistemic Powers, and the Indexical Theory of Knowledge.Hector-Neri Castañeda - 1980 - Midwest Studies in Philosophy 5 (1):193-238.
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  • Probabilist antirealism.Igor Douven, Leon Horsten & Jan-Willem Romeijn - 2010 - Pacific Philosophical Quarterly 91 (1):38-63.
    Until now, antirealists have offered sketches of a theory of truth, at best. In this paper, we present a probabilist account of antirealist truth in some formal detail, and we assess its ability to deal with the problems that are standardly taken to beset antirealism.
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  • Regular probability comparisons imply the Banach–Tarski Paradox.Alexander R. Pruss - 2014 - Synthese 191 (15):3525-3540.
    Consider the regularity thesis that each possible event has non-zero probability. Hájek challenges this in two ways: there can be nonmeasurable events that have no probability at all and on a large enough sample space, some probabilities will have to be zero. But arguments for the existence of nonmeasurable events depend on the axiom of choice. We shall show that the existence of anything like regular probabilities is by itself enough to imply a weak version of AC sufficient to prove (...)
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  • Avoiding Dutch Books despite inconsistent credences.Alexander R. Pruss - 2020 - Synthese 198 (12):11265-11289.
    It is often loosely said that Ramsey The foundations of mathematics and other logical essays, Routledge and Kegan Paul, Abingdon, pp 156–198, 1931) and de Finetti Studies in subjective probability, Kreiger Publishing, Huntington, 1937) proved that if your credences are inconsistent, then you will be willing to accept a Dutch Book, a wager portfolio that is sure to result in a loss. Of course, their theorems are true, but the claim about acceptance of Dutch Books assumes a particular method of (...)
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  • Probability, Regularity, and Cardinality.Alexander R. Pruss - 2013 - Philosophy of Science 80 (2):231-240.
    Regularity is the thesis that all contingent propositions should be assigned probabilities strictly between zero and one. I will prove on cardinality grounds that if the domain is large enough, a regular probability assignment is impossible, even if we expand the range of values that probabilities can take, including, for instance, hyperreal values, and significantly weaken the axioms of probability.
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  • Accuracy, Risk, and the Principle of Indifference.Richard Pettigrew - 2016 - Philosophy and Phenomenological Research 92 (1):35-59.
    In Bayesian epistemology, the problem of the priors is this: How should we set our credences (or degrees of belief) in the absence of evidence? That is, how should we set our prior or initial credences, the credences with which we begin our credal life? David Lewis liked to call an agent at the beginning of her credal journey a superbaby. The problem of the priors asks for the norms that govern these superbabies. -/- The Principle of Indifference gives a (...)
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  • What conditional probability could not be.Alan Hájek - 2003 - Synthese 137 (3):273--323.
    Kolmogorov''s axiomatization of probability includes the familiarratio formula for conditional probability: 0).$$ " align="middle" border="0">.
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  • Dutch Books and nonclassical probability spaces.Leszek Wroński & Michał Tomasz Godziszewski - 2017 - European Journal for Philosophy of Science 7 (2):267-284.
    We investigate how Dutch Book considerations can be conducted in the context of two classes of nonclassical probability spaces used in philosophy of physics. In particular we show that a recent proposal by B. Feintzeig to find so called “generalized probability spaces” which would not be susceptible to a Dutch Book and would not possess a classical extension is doomed to fail. Noting that the particular notion of a nonclassical probability space used by Feintzeig is not the most common employed (...)
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  • Hidden Assumptions in the Dutch Book Argument.C. Waidacher - 1997 - Theory and Decision 43 (3):293-312.
    Probabilistic theories of rationality claim that degrees of belief have to satisfy the probability axioms in order to be rational. A standard argument to support this claim is the Dutch Book argument. This paper tries to show that, in spite of its popularity, the Dutch Book argument does not provide a foundation for normative theories of rationality. After a presentation of the argument and some of its criticisms a problem is pointed out: the Dutch Book argument applies only to situations (...)
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  • Some remarks on coherence and subjective probability.John M. Vickers - 1965 - Philosophy of Science 32 (1):32-38.
    The interpretation of the calculus of probability as a logic of partial belief has at least two advantages: it makes the assignment of probabilities plausible in cases where classical frequentist interpretations must find such assignments meaningless, and it gives a clear meaning to partial belief and to consistency of partial belief.
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  • Higher order probabilities and coherence.Soshichi Uchii - 1973 - Philosophy of Science 40 (3):373-381.
    It is well known that a degree-of-belief function P is coherent if and only if it satisfies the probability calculus. In this paper, we show that the notion of coherence can be extended to higher order probabilities such as P(P(h)=p)=q, and that a higher order degree-of-belief function P is coherent if and only if it satisfies the probability calculus plus the following axiom: P(h)=p iff P(P(h)=p)=1. Also, a number of lemmata which extend an incomplete probability function to a complete one (...)
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  • Coordinated Rational Choice.Luca Tummolini & Wynn C. Stirling - 2020 - Topoi 39 (2):317-327.
    When acting in social contexts, we are often able to voluntarily coordinate our choices with one another. It has been suggested that this ability relies on the adoption of preferences that transcend those of the individuals involved in the social interaction. Conditional game theory provides a formal framework that facilitates the study of coordinated rational choice in a way that disentangles the concepts of individual preference and group agency. We argue that these concepts are complementary: individual preferences are formed in (...)
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  • Regularity reformulated.Weng Hong Tang - 2012 - Episteme 9 (4):329-343.
    This paper focuses on the view that rationality requires that our credences be regular. I go through different formulations of the requirement, and show that they face several problems. I then formulate a version of the requirement that solves most of, if not all, these problems. I conclude by showing that an argument thought to support the requirement as traditionally formulated actually does not; if anything, the argument, slightly modified, supports my version of the requirement.Send article to KindleTo send this (...)
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  • What conceptual spaces can do for Carnap's late inductive logic.Marta Sznajder - 2016 - Studies in History and Philosophy of Science Part A 56:62-71.
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  • Satisficing, preferences, and social interaction: a new perspective.Wynn C. Stirling & Teppo Felin - 2016 - Theory and Decision 81 (2):279-308.
    Satisficing is a central concept in both individual and social multiagent decision making. In this paper we first extend the notion of satisficing by formally modeling the tradeoff between costs and decision failure. Second, we extend this notion of “neo”-satisficing into the context of social or multiagent decision making and interaction, and model the social conditioning of preferences in a satisficing framework.
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  • Probability and conditionals.Robert C. Stalnaker - 1970 - Philosophy of Science 37 (1):64-80.
    The aim of the paper is to draw a connection between a semantical theory of conditional statements and the theory of conditional probability. First, the probability calculus is interpreted as a semantics for truth functional logic. Absolute probabilities are treated as degrees of rational belief. Conditional probabilities are explicitly defined in terms of absolute probabilities in the familiar way. Second, the probability calculus is extended in order to provide an interpretation for counterfactual probabilities--conditional probabilities where the condition has zero probability. (...)
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  • Strict coherence, sigma coherence and the metaphysics of quantity.Brian Skyrms - 1995 - Philosophical Studies 77 (1):39-55.
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  • Updating, supposing, and maxent.Brian Skyrms - 1987 - Theory and Decision 22 (3):225-246.
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  • Nagel's translation of teleological statements: A critique.Vivien B. Shelanski - 1973 - British Journal for the Philosophy of Science 24 (4):397-401.
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  • The main two arguments for probabilism are flawed.Luigi Secchi - 2014 - Synthese 191 (3):287-295.
    Probabilism, the view that agents have numerical degrees of beliefs that conform to the axioms of probability, has been defended by the vast majority of its proponents by way of either of two arguments, the Dutch Book Argument and the Representation Theorems Argument. In this paper I argue that both arguments are flawed. The Dutch Book Argument is based on an unwarranted, ad hoc premise that cannot be dispensed with. The Representation Theorems Argument hinges on an invalid implication.
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  • Belief Update across Fission.Wolfgang Schwarz - 2015 - British Journal for the Philosophy of Science 66 (3):659-682.
    When an agent undergoes fission, how should the beliefs of the fission results relate to the pre-fission beliefs? This question is important for the Everett interpretation of quantum mechanics, but it is of independent philosophical interest. Among other things, fission scenarios demonstrate that ‘self-locating’ information can affect the probability of uncentred propositions even if an agent has no essentially self-locating uncertainty. I present a general update rule for centred beliefs that gives sensible verdicts in cases of fission, without relying on (...)
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  • The Insufficiency of the Dutch Book Argument.Darrell Patrick Rowbottom - 2007 - Studia Logica 87 (1):65-71.
    It is a common view that the axioms of probability can be derived from the following assumptions: probabilities reflect degrees of belief, degrees of belief can be measured as betting quotients; and a rational agent must select betting quotients that are coherent. In this paper, I argue that a consideration of reasonable betting behaviour, with respect to the alleged derivation of the first axiom of probability, suggests that and are incorrect. In particular, I show how a rational agent might assign (...)
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  • A dutch book theorem and converse dutch book theorem for Kolmogorov conditionalization.Michael Rescorla - 2018 - Review of Symbolic Logic 11 (4):705-735.
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  • A Dutch Book Theorem and Converse Dutch Book Theorem for Kolmogorov Conditionalization.Michael Rescorla - unknown
    This paper discusses how to update one’s credences based on evidence that has initial probability 0. I advance a diachronic norm, Kolmogorov Conditionalization, that governs credal reallocation in many such learning scenarios. The norm is based upon Kolmogorov’s theory of conditional probability. I prove a Dutch book theorem and converse Dutch book theorem for Kolmogorov Conditionalization. The two theorems establish Kolmogorov Conditionalization as the unique credal reallocation rule that avoids a sure loss in the relevant learning scenarios.
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  • Null probability, dominance and rotation.A. R. Pruss - 2013 - Analysis 73 (4):682-685.
    New arguments against Bayesian regularity and an otherwise plausible domination principle are offered on the basis of rotational symmetry. The arguments against Bayesian regularity work in very general settings.
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  • On the Expected Utility Objection to the Dutch Book Argument for Probabilism.Richard Pettigrew - 2021 - Noûs (1):23-38.
    The Dutch Book Argument for Probabilism assumes Ramsey's Thesis (RT), which purports to determine the prices an agent is rationally required to pay for a bet. Recently, a new objection to Ramsey's Thesis has emerged (Hedden 2013, Wronski & Godziszewski 2017, Wronski 2018)--I call this the Expected Utility Objection. According to this objection, it is Maximise Subjective Expected Utility (MSEU) that determines the prices an agent is required to pay for a bet, and this often disagrees with Ramsey's Thesis. I (...)
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  • Comparative Expectations.Arthur Paul Pedersen - 2014 - Studia Logica 102 (4):811-848.
    I introduce a mathematical account of expectation based on a qualitative criterion of coherence for qualitative comparisons between gambles (or random quantities). The qualitative comparisons may be interpreted as an agent’s comparative preference judgments over options or more directly as an agent’s comparative expectation judgments over random quantities. The criterion of coherence is reminiscent of de Finetti’s quantitative criterion of coherence for betting, yet it does not impose an Archimedean condition on an agent’s comparative judgments, it does not require the (...)
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  • Weintraub’s response to Williamson’s coin flip argument.Matthew W. Parker - 2021 - European Journal for Philosophy of Science 11 (3):1-21.
    A probability distribution is regular if it does not assign probability zero to any possible event. Williamson argued that we should not require probabilities to be regular, for if we do, certain “isomorphic” physical events must have different probabilities, which is implausible. His remarks suggest an assumption that chances are determined by intrinsic, qualitative circumstances. Weintraub responds that Williamson’s coin flip events differ in their inclusion relations to each other, or the inclusion relations between their times, and this can account (...)
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  • Symmetry arguments against regular probability: A reply to recent objections.Matthew W. Parker - 2019 - European Journal for Philosophy of Science 9 (1):1-21.
    A probability distribution is regular if it does not assign probability zero to any possible event. While some hold that probabilities should always be regular, three counter-arguments have been posed based on examples where, if regularity holds, then perfectly similar events must have different probabilities. Howson and Benci et al. have raised technical objections to these symmetry arguments, but we see here that their objections fail. Howson says that Williamson’s “isomorphic” events are not in fact isomorphic, but Howson is speaking (...)
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  • Symmetry arguments against regular probability: A reply to recent objections.Matthew W. Parker - 2018 - European Journal for Philosophy of Science 9 (1):8.
    A probability distribution is regular if no possible event is assigned probability zero. While some hold that probabilities should always be regular, three counter-arguments have been posed based on examples where, if regularity holds, then perfectly similar events must have different probabilities. Howson (2017) and Benci et al. (2016) have raised technical objections to these symmetry arguments, but we see here that their objections fail. Howson says that Williamson’s (2007) “isomorphic” events are not in fact isomorphic, but Howson is speaking (...)
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  • A model of belief.J. B. Paris & A. Vencovská - 1993 - Artificial Intelligence 64 (2):197-241.
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  • Feminist Philosophy of Science.Lynn Hankinson Nelson - 2002 - In Peter Machamer & Michael Silberstein (eds.), The Blackwell Guide to the Philosophy of Science. Oxford, UK: Blackwell. pp. 312–331.
    This chapter contains sections titled: Highlights of Past Literature Current Work Future Work.
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