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Logical foundations of probability

Chicago]: Chicago University of Chicago Press (1950)

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  1. The distance between constituents.David Miller - 1978 - Synthese 38 (2):197 - 212.
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  • (1 other version)Reviews. [REVIEW]Peter Milne - 1984 - British Journal for the Philosophy of Science 35 (1):95-100.
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  • On the comparison of false theories by their bases.David Miller - 1974 - British Journal for the Philosophy of Science 25 (2):178-188.
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  • On individual risk.Philip Dawid - 2017 - Synthese 194 (9):3445-3474.
    We survey a variety of possible explications of the term “Individual Risk.” These in turn are based on a variety of interpretations of “Probability,” including classical, enumerative, frequency, formal, metaphysical, personal, propensity, chance and logical conceptions of probability, which we review and compare. We distinguish between “groupist” and “individualist” understandings of probability, and explore both “group to individual” and “individual to group” approaches to characterising individual risk. Although in the end that concept remains subtle and elusive, some pragmatic suggestions for (...)
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  • ‘Evidence’ as an idealized cognitive model.Steven I. Miller - 1994 - Social Epistemology 8 (2):163 – 175.
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  • Probable explanation.D. H. Mellor - 1976 - Australasian Journal of Philosophy 54 (3):231 – 241.
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  • Evaluating Test Cases for Probabilistic Measures of Coherence.Jakob Koscholke - 2016 - Erkenntnis 81 (1):155-181.
    How can we determine the adequacy of a probabilistic coherence measure? A widely accepted approach to this question besides formulating adequacy constraints is to employ paradigmatic test cases consisting of a scenario providing a joint probability distribution over some specified set of propositions coupled with a normative coherence assessment for this set. However, despite the popularity of the test case approach, a systematic evaluation of the proposed test cases is still missing. This paper’s aim is to change this. Using a (...)
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  • Coherence as Generalized Logical Equivalence.Wouter Meijs - 2006 - Erkenntnis 64 (2):231-252.
    In this paper I consider whether there is a measure of coherence that could be rightly claimed to generalize the notion of logical equivalence. I show that Fitelson’s (2003) proposal to that effect encounters some serious difficulties. Furthermore, there is reason to believe that no mutual-support measure could ever be suitable for the formalization of coherence as generalized logical equivalence. Instead, it appears that the only plausible candidate for such a measure is one of relative overlap. The measure I propose (...)
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  • Paradigms and possibilities.Graham McFee - 2007 - Sport, Ethics and Philosophy 1 (1):58 – 77.
    This paper is a excursus into a philosophy of science for deployment in the study of sport. It argues for the virtues of Thomas Kuhn's account of the philosophy of science, an argument conducted strategically by contrasting that account with one derived from views of Karl Popper. In particular, it stresses, first, that Kuhn's views have been widely misunderstood; second, that a rectified Kuhnianism can give due weight to truth in science, while recognising that social sciences differ in crucial ways (...)
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  • The Popper—Carnap controversy.J. G. McEvoy - 1976 - Studies in History and Philosophy of Science Part A 7 (1):63-85.
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  • Optimization and connectionism are two different things.Drew McDermott - 1989 - Behavioral and Brain Sciences 12 (3):483-484.
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  • Acceptability, analogy, and the acceptability of analogies.Robert N. McCauley - 1989 - Behavioral and Brain Sciences 12 (3):482-483.
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  • Frequentist statistics as a theory of inductive inference.Deborah G. Mayo & David Cox - 2009 - In Deborah G. Mayo & Aris Spanos (eds.), Error and Inference: Recent Exchanges on Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science. New York: Cambridge University Press.
    After some general remarks about the interrelation between philosophical and statistical thinking, the discussion centres largely on significance tests. These are defined as the calculation of p-values rather than as formal procedures for ‘acceptance‘ and ‘rejection‘. A number of types of null hypothesis are described and a principle for evidential interpretation set out governing the implications of p- values in the specific circumstances of each application, as contrasted with a long-run interpretation. A number of more complicated situ- ations are discussed (...)
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  • An objective theory of statistical testing.Deborah G. Mayo - 1983 - Synthese 57 (3):297 - 340.
    Theories of statistical testing may be seen as attempts to provide systematic means for evaluating scientific conjectures on the basis of incomplete or inaccurate observational data. The Neyman-Pearson Theory of Testing (NPT) has purported to provide an objective means for testing statistical hypotheses corresponding to scientific claims. Despite their widespread use in science, methods of NPT have themselves been accused of failing to be objective; and the purported objectivity of scientific claims based upon NPT has been called into question. The (...)
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  • An explicative model of theory testing.Michael Martin - 1970 - Zeitschrift Für Allgemeine Wissenschaftstheorie 1 (2):228-242.
    The official view of theory testing in the philosophy of science, the deductive model, does not reflect the way ambiguous, vague and ill formulated theories are tested. A new model of theory testing, the explicative model, is outlined which reflects how such theories are tested. This model is illustrated in the actual testing of psychoanalysis, a typical case of an ambiguous, vague and ill formulated theory and is contrasted with Kuhn's notion of the articulation of a paradigm.
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  • Analysis as Translation.Diego Marconi - 2019 - Topoi 38 (2):347-360.
    Different notions of analysis have been both theorized and put to use in early analytic philosophy. Two of them stand out: connective analysis and analysis as paraphrase. The latter played a central role in the development of analytic philosophy from Frege to Quine and beyond. With the advent of formal semantics of natural language in the 1970s, paraphrase came to be characterizable as translation into a formal “target language”. While I claim that the method cannot achieve its original philosophical aims, (...)
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  • Logic of Simpson paradox.Jacek Malinowski - 2005 - Logic and Logical Philosophy 14 (2):203-210.
    The main aim of this paper is to elucidate, from a logical point of view, the phenomenon of Simpson reversal — the paradox of a statistical reasoning. We define a binary relation of supporting in the following way: a sentence A supports a sentence B if and only if the probability of B is higher when A is true, than when A is false. It appears that a statistical argument occurring in Simpson paradox cannot be formalized by means of a (...)
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  • Conditional Probability in the Light of Qualitative Belief Change.David C. Makinson - 2011 - Journal of Philosophical Logic 40 (2):121 - 153.
    We explore ways in which purely qualitative belief change in the AGM tradition throws light on options in the treatment of conditional probability. First, by helping see why it can be useful to go beyond the ratio rule defining conditional from one-place probability. Second, by clarifying what is at stake in different ways of doing that. Third, by suggesting novel forms of conditional probability corresponding to familiar variants of qualitative belief change, and conversely. Likewise, we explain how recent work on (...)
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  • Predictive Probability and Analogy by Similarity in Inductive Logic.Maria Concetta Di Maio - 1995 - Erkenntnis 43 (3):369 - 394.
    The λ-continuum of inductive methods was derived from an assumption, called λ-condition, which says that the probability of finding an individual having property $x_{j}$ depends only on the number of observed individuals having property $x_{j}$ and on the total number of observed individuals. So, according to that assumption, all individuals with properties which are different from $x_{j}$ have equal weight with respect to that probability and, in particular, it does not matter whether any individual was observed having some property similar (...)
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  • The hole in the ground of induction.Patrick Maher - 1996 - Australasian Journal of Philosophy 74 (3):423 – 432.
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  • The irrelevance of belief to rational action.Patrick Maher - 1986 - Erkenntnis 24 (3):363 - 384.
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  • The Concept of Inductive Probability.Patrick Maher - 2006 - Erkenntnis 65 (2):185-206.
    The word ‘probability’ in ordinary language has two different senses, here called inductive and physical probability. This paper examines the concept of inductive probability. Attempts to express this concept in other words are shown to be either incorrect or else trivial. In particular, inductive probability is not the same as degree of belief. It is argued that inductive probabilities exist; subjectivist arguments to the contrary are rebutted. Finally, it is argued that inductive probability is an important concept and that it (...)
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  • Propensity, evidence, and diagnosis.J. L. Mackie - 1981 - Behavioral and Brain Sciences 4 (3):345-346.
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  • Explanationism, ECHO, and the connectionist paradigm.William G. Lycan - 1989 - Behavioral and Brain Sciences 12 (3):480-480.
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  • Should Bayesians sometimes neglect base rates?Isaac Levi - 1981 - Behavioral and Brain Sciences 4 (3):342-343.
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  • Probability logic, logical probability, and inductive support.Isaac Levi - 2010 - Synthese 172 (1):97-118.
    This paper seeks to defend the following conclusions: The program advanced by Carnap and other necessarians for probability logic has little to recommend it except for one important point. Credal probability judgments ought to be adapted to changes in evidence or states of full belief in a principled manner in conformity with the inquirer’s confirmational commitments—except when the inquirer has good reason to modify his or her confirmational commitment. Probability logic ought to spell out the constraints on rationally coherent confirmational (...)
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  • Information and inference.Isaac Levi - 1967 - Synthese 17 (1):369 - 391.
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  • Explanatory coherence in neural networks?Daniel S. Levine - 1989 - Behavioral and Brain Sciences 12 (3):479-479.
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  • Rationality as weighted averaging.Keith Lehrer - 1983 - Synthese 57 (3):283 - 295.
    Weighted averaging is a method for aggregating the totality of information, both regimented and unregimented, possessed by an individual or group of individuals. The application of such a method may be warranted by a theorem of the calculus of probability, simple conditionalization, or Jeffrey's formula for probability kinematics, all of which average in terms of the prior probability of evidence statements. Weighted averaging may, however, be applied as a method of rational aggregation of the probabilities of diverse perspectives or persons (...)
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  • (1 other version)Probabilistic Semantics for First-Order Logic.Hugues Leblanc - 1979 - Zeitschrift fur mathematische Logik und Grundlagen der Mathematik 25 (32):497-509.
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  • (1 other version)Probability functions and their assumption sets — the singulary case.Hugues Leblanc - 1983 - Journal of Philosophical Logic 12 (4):379 - 402.
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  • Les fonctions de probabilité: la question de leur définissabilité récursive.Hugues Leblanc & Peter Roeper - 1992 - Dialogue 31 (4):643-.
    Pensons aux divers énoncés qui peuvent être composés à partir d'un ensemble fini ou dénombrable d'énoncés atomiques à l'aide de, disons, ‘˜’ et ‘&’; soit A n'importe lequel de ces énoncés; et soit l'ensemble SA des composantes atomiques de A. La valeur de vérité de A dépend évidemment des valeurs de vérité de certains membres de SA. En effet, si aux valeurs de vérité Vrai et Faux sont substitués les entiers 1 et 0, respectivement; la valeur de vérité VVV d'une (...)
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  • Some problems facing intuitionist meta-methodologies.Larry Laudan - 1986 - Synthese 67 (1):115 - 129.
    Intuitionistic meta-methodologies, which abound in recent philosophy of science, take the criterion of success for theories of scientific rationality to be whether those theories adequately explicate our intuitive judgments of rationality in exemplary cases. Garber's (1985) critique of Laudan's (1977) intuitionistic meta-methodology, correct as far as it goes, does not go far enough. Indeed, Garber himself advocates a form of intuitionistic meta-methodology; he merely denies any special role for historical (as opposed to contemporary or imaginary) test cases. What all such (...)
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  • Inductive confirmation, counterfactual conditionals, and laws of nature.Marc Lange - 1996 - Philosophical Studies 85 (1):1-36.
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  • A survey of some recent results on Spectrum Exchangeability in Polyadic Inductive Logic.J. Landes, J. B. Paris & A. Vencovská - 2011 - Synthese 181 (S1):19 - 47.
    We give a unified account of some results in the development of Polyadic Inductive Logic in the last decade with particular reference to the Principle of Spectrum Exchangeability, its consequences for Instantial Relevance, Language Invariance and Johnson's Sufficientness Principle, and the corresponding de Finetti style representation theorems.
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  • A Counterfactual Analysis of the Concepts of Logical Truth and Necessity.Marc Lange - 2005 - Philosophical Studies 125 (3):277-303.
    This paper analyzes the logical truths as (very roughly) those truths that would still have been true under a certain range of counterfactual perturbations.What’s nice is that the relevant range is characterized without relying (overtly, at least) upon the notion of logical truth. This approach suggests a conception of necessity that explains what the different varieties of necessity (logical, physical, etc.) have in common, in virtue of which they are all varieties of necessity. However, this approach places the counterfactual conditionals (...)
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  • Tyche and Athena.Henry E. Kyburg - 1979 - Synthese 40 (3):415 - 438.
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  • Intuition, competence, and performance.Henry E. Kyburg - 1981 - Behavioral and Brain Sciences 4 (3):341-342.
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  • Carnap and Achinstein on evidence.Frederick M. Kronz - 1992 - Philosophical Studies 67 (2):151 - 167.
    Two notions of evidence are focused on in this essay, Carnap's positive-relevance notion of evidence (1962, pp. 462 ff.), and Achinstein's notion of potential evidence (1978; and 1983, pp. 322–350). Achinstein creates several interesting examples in his attempt to find faults in Carnap's notion of evidence; his motive, ultimately, is to impel us towards potential evidence. The purpose of this essay is to show that positive relevance is significantly more promising than potential evidence with respect to capturing the scientific sense (...)
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  • Improvements in human reasoning and an error in L. J. Cohen's.David H. Krantz - 1981 - Behavioral and Brain Sciences 4 (3):340-340.
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  • Probabilistic coherence measures: a psychological study of coherence assessment.Jakob Koscholke & Marc Jekel - 2017 - Synthese 194 (4).
    Over the years several non-equivalent probabilistic measures of coherence have been discussed in the philosophical literature. In this paper we examine these measures with respect to their empirical adequacy. Using test cases from the coherence literature as vignettes for psychological experiments we investigate whether the measures can predict the subjective coherence assessments of the participants. It turns out that the participants’ coherence assessments are best described by Roche’s coherence measure based on Douven and Meijs’ average mutual support approach and the (...)
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  • Carnap’s Relevance Measure as a Probabilistic Measure of Coherence.Jakob Koscholke - 2017 - Erkenntnis 82 (2):339-350.
    Tomoji Shogenji is generally assumed to be the first author to have presented a probabilistic measure of coherence. Interestingly, Rudolf Carnap in his Logical Foundations of Probability discussed a function that is based on the very same idea, namely his well-known relevance measure. This function is largely neglected in the coherence literature because it has been proposed as a measure of evidential support and still is widely conceived as such. The aim of this paper is therefore to investigate Carnap’s measure (...)
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  • A weak symmetry condition for probabilistic measures of confirmation.Jakob Koscholke - 2018 - Philosophical Studies 175 (8):1927-1944.
    This paper presents a symmetry condition for probabilistic measures of confirmation which is weaker than commutativity symmetry, disconfirmation commutativity symmetry but also antisymmetry. It is based on the idea that for any value a probabilistic measure of confirmation can assign there is a corresponding case where degrees of confirmation are symmetric. It is shown that a number of prominent confirmation measures such as Carnap’s difference function, Rescher’s measure of confirmation, Gaifman’s confirmation rate and Mortimer’s inverted difference function do not satisfy (...)
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  • Epistemic Systems.Roger Koppl - 2006 - Episteme 2 (2):91-106.
    Epistemic systems are social processes generating judgments of truth and falsity. I outline a mathematical theory of epistemic systems that applies widely. Areas of application include pure science, torture, police forensics, espionage, auditing, clinical medical testing, democratic procedure, and the market economy. I examine torture and police forensics in relative detail. This paper is an exercise in comparative institutional epistemics, which considers how the institutions of an epistemic system influence its performance as measured by such things as error rates and (...)
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  • Explanation and its problems. [REVIEW]Noretta Koertge - 1992 - British Journal for the Philosophy of Science 43 (1):85-98.
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  • Keynes’s Coefficient of Dependence Revisited.Peter Brössel - 2015 - Erkenntnis 80 (3):521-553.
    Probabilistic dependence and independence are among the key concepts of Bayesian epistemology. This paper focuses on the study of one specific quantitative notion of probabilistic dependence. More specifically, section 1 introduces Keynes’s coefficient of dependence and shows how it is related to pivotal aspects of scientific reasoning such as confirmation, coherence, the explanatory and unificatory power of theories, and the diversity of evidence. The intimate connection between Keynes’s coefficient of dependence and scientific reasoning raises the question of how Keynes’s coefficient (...)
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  • The logic of discovery and Darwin's pre-malthusian researches.Scott A. Kleiner - 1988 - Biology and Philosophy 3 (3):293-315.
    Traditional logical empiricist and more recent historicist positions on the logic of discovery are briefly reviewed and both are found wanting. None have examined the historical detail now available from recent research on Darwin, from which there is evidence for gradual transition in descriptive and explanatory concepts. This episode also shows that revolutionary research can be directed by borrowed metascientific objectives and heuristics from other disciplines. Darwin's own revolutionary research took place within an ontological context borrowed from non evolutionary predecessors (...)
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  • Rationalism, naturalism, and methodological principles.I. A. Kieseppä - 2000 - Erkenntnis 53 (3):337-352.
    The nature of the distinction between rational andnon-rational accounts of the development of science isanalyzed. These two kinds of accounts differ mostlyin the status which they give to methodologicalprinciples. It is shown that there are severaldimensions with respect to which the status of suchprinciples can resemble more or less the kind ofstatus that a paradigmatic rational account would givethem. It is concluded that, under the most plausibledefinitions of a rational account, the extent to whicha philosophical account of scientific change isrational (...)
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  • Analyticity versus fuzziness.John G. Kemeny - 1963 - Synthese 15 (1):57 - 80.
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  • Evidence and Normativity: Reply to Leite.Thomas Kelly - 2007 - Philosophy and Phenomenological Research 75 (2):465-474.
    According to one view about the rationality of belief, such rationality is ultimately nothing other than the rationality that one exhibits in taking the means to one’s ends. On this view, epistemic rationality is really a species or special case of instrumental rationality. In particular, epistemic rationality is instrumental rationality in the service of one’s distinctively cognitive or epistemic goals (perhaps: one’s goal of holding true rather than false beliefs). In my (2003), I dubbed this view the instrumentalist conception of (...)
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