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The theory of nomic probability

Synthese 90 (2):263 - 299 (1992)

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  1. Logic of Statistical Inference.Ian Hacking - 1965 - Cambridge, England: Cambridge University Press.
    One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians. Presented in a fresh twenty-first-century series livery, and including a specially commissioned preface written by Jan-Willem Romeijn, illuminating its enduring importance and relevance to philosophical enquiry, Hacking's influential and original work has been revived for (...)
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  • Circumscription — A Form of Non-Monotonic Reasoning.John McCarthy - 1980 - Artificial Intelligence 13 (1-2):27–39.
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  • Nomic Probability and the Foundations of Induction.John L. Pollock - 1990 - New York, NY, USA: Oxford University Press.
    In this book Pollock deals with the subject of probabilistic reasoning, making general philosophical sense of objective probabilities and exploring their ...
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  • A Version of Foundationalism.Roderick M. Chisholm - 1980 - Midwest Studies in Philosophy 5 (1):543-564.
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  • Theory of knowledge.Roderick M. Chisholm - 1966 - Englewood Cliffs, N.J.,: Prentice-Hall.
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  • A logic for default reasoning.Ray Reiter - 1980 - Artificial Intelligence 13 (1-2):81-137.
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  • Likelihood.Anthony William Fairbank Edwards - 1972 - Cambridge [Eng.]: University Press.
    Dr Edwards' stimulating and provocative book advances the thesis that the appropriate axiomatic basis for inductive inference is not that of probability, with its addition axiom, but rather likelihood - the concept introduced by Fisher as a measure of relative support amongst different hypotheses. Starting from the simplest considerations and assuming no more than a modest acquaintance with probability theory, the author sets out to reconstruct nothing less than a consistent theory of statistical inference in science.
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  • (1 other version)Contemporary theories of knowledge.John L. Pollock - 1986 - London: Hutchinson.
    This new edition of the classic Contemporary Theories of Knowledge has been significantly updated to include analyses of the recent literature in epistemology.
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  • Fact, Fiction, and Forecast.Nelson Goodman - 1973 - Cambridge: Harvard University Press.
    In his new foreword to this edition, Hilary Putnam forcefully rejects these nativist claims.
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  • Defeasible Reasoning.John L. Pollock - 1987 - Cognitive Science 11 (4):481-518.
    There was a long tradition in philosophy according to which good reasoning had to be deductively valid. However, that tradition began to be questioned in the 1960’s, and is now thoroughly discredited. What caused its downfall was the recognition that many familiar kinds of reasoning are not deductively valid, but clearly confer justification on their conclusions. Here are some simple examples.
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  • Criteria and our knowledge of the material world.John L. Pollock - 1967 - Philosophical Review 76 (1):28-60.
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  • (3 other versions)Epistemology and probability.John L. Pollock - 1983 - Noûs 17 (1):65-67.
    Probability is sometimes regarded as a universal panacea for epistemology. It has been supposed that the rationality of belief is almost entirely a matter of probabilities. Unfortunately, those philosophers who have thought about this most extensively have tended to be probability theorists first, and epistemologists only secondarily. In my estimation, this has tended to make them insensitive to the complexities exhibited by epistemic justification. In this paper I propose to turn the tables. I begin by laying out some rather simple (...)
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  • Knowledge and Justification.John L. Pollock - 1974 - Princeton, N.J.: Princeton University Press. Edited by John Pollock.
    Princeton University Press, 1974. This book is out of print, but can be downloaded as a pdf file (5 MB).
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  • Subjunctive reasoning.John Pollock - 1976 - Reidel. Edited by Lloyd Humberstone.
    Reidel, 1976. This book is out of print, but can be downloaded as a pdf file (3.3 MB).
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  • Perceiving: A Philosophical Study.Roderick M. Chisholm - 1957 - Ithaca,: Cornell University Press.
    The purpose of this book is to develop a terminological structure in which private perceptions can be discussed publicly without bringing into existence the usual unnecessary philosophical problems of confused usage of language. chisholm displays an appraisive, quasi-ethical use of language, whereby he claims that a thing has some particular sensible property is to have adequate evidence that it actually does have that property. (staff).
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  • Perceptual knowledge.John L. Pollock - 1971 - Philosophical Review 80 (3):287-319.
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  • A truth maintenance system.Jon Doyle - 1979 - Artificial Intelligence 12 (3):231-272.
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  • Subjunctive Reasoning.Donald Nute - 1981 - Noûs 15 (2):212-219.
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  • ``Conjunctivitis".Henry E. Kyburg Jr - 1970 - In Marshall Swain (ed.), Induction, acceptance, and rational belief. Dordrecht,: Reidel. pp. 55-82.
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  • (1 other version)Probability and the logic of rational belief.Henry Ely Kyburg - 1961 - Middletown, Conn.,: Wesleyan University Press.
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  • (1 other version)The paradox of the preface.John L. Pollock - 1986 - Philosophy of Science 53 (2):246-258.
    In a number of recent papers I have been developing the theory of "nomic probability," which is supposed to be the kind of probability involved in statistical laws of nature. One of the main principles of this theory is an acceptance rule explicitly designed to handle the lottery paradox. This paper shows that the rule can also handle the paradox of the preface. The solution proceeds in part by pointing out a surprising connection between the paradox of the preface and (...)
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  • Non-monotonic logic I.Drew McDermott & Jon Doyle - 1980 - Artificial Intelligence 13 (1-2):41-72.
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  • An Objective Theory of Probability (Routledge Revivals).Donald Gillies - 2010 - Routledge.
    This reissue of D. A. Gillies highly influential work, first published in 1973, is a philosophical theory of probability which seeks to develop von Mises’ views on the subject. In agreement with von Mises, the author regards probability theory as a mathematical science like mechanics or electrodynamics, and probability as an objective, measurable concept like force, mass or charge. On the other hand, Dr Gillies rejects von Mises’ definition of probability in terms of limiting frequency and claims that probability should (...)
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  • The Logical Foundations of Statistical Inference.Henry Ely Kyburg - 1974 - Dordrecht and Boston: Reidel.
    At least one of these conceptions of probability underlies any theory of statistical inference (or, to use Neyman's phrase, 'inductive behavior'). ...
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  • (1 other version)Probability and the Logic of Rational Belief.Henry Ely Kyburg - 1961 - Middletown, CT, USA: Wesleyan University Press.
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  • Formalizing nonmonotonic reasoning systems.David W. Etherington - 1987 - Artificial Intelligence 31 (1):41-85.
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  • (2 other versions)Perceiving: A Philosophical Study.Roderick M. Chisholm - 1957 - Philosophy 34 (131):366-367.
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  • The Reference Class.Henry E. Kyburg - 1983 - Philosophy of Science 50 (3):374-397.
    The system presented by the author in The Logical Foundations of Statistical Inference suffered from certain technical difficulties, and from a major practical difficulty; it was hard to be sure, in discussing examples and applications, when you had got hold of the right reference class. The present paper, concerned mainly with the characterization of randomness, resolves the technical difficulties and provides a well structured framework for the choice of a reference class. The definition of randomness that leads to this framework (...)
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  • (3 other versions)Epistemology and probability.John L. Pollock - 1983 - Synthese 55 (2):231-252.
    Probability is sometimes regarded as a universal panacea for epistemology. It has been supposed that the rationality of belief is almost entirely a matter of probabilities. Unfortunately, those philosophers who have thought about this most extensively have tended to be probability theorists first, and epistemologists only secondarily. In my estimation, this has tended to make them insensitive to the complexities exhibited by epistemic justification. In this paper I propose to turn the tables. I begin by laying out some rather simple (...)
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  • Concepts of statistical evidence.Allan Birnbaum - 1969 - In Ernest Nagel, Sidney Morgenbesser, Patrick Suppes & Morton White (eds.), Philosophy, science, and method. New York,: St. Martin's Press. pp. 112--143.
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  • Applications of Circumscription to Formalizing Common Sense Knowledge.John McCarthy - 1986 - Artificial Intelligence 28 (1):89–116.
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  • Foundations for direct inference.John L. Pollock - 1994 - Theory and Decision 17 (3):221-255.
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  • (1 other version)``The Paradox of the Preface".John L. Pollock - 1986 - Philosophy of Science 53 (2):246-258.
    In a number of recent papers I have been developing the theory of “nomic probability,“ which is supposed to be the kind of probability involved in statistical laws of nature. One of the main principles of this theory is an acceptance rule explicitly designed to handle the lottery paradox. This paper shows that the rule can also handle the paradox of the preface. The solution proceeds in part by pointing out a surprising connection between the paradox of the preface and (...)
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  • Contemporary Theories of Knowledge.John Pollock - 1986 - British Journal for the Philosophy of Science 39 (1):131-140.
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  • What Is an Epistemological Problem?John L. Pollock - 1968 - American Philosophical Quarterly 5 (3):183 - 190.
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  • (1 other version)On the Mathematical Foundations of Theoretical Statistics.Ronald A. Fisher - 1922 - Philosophical Transactions of the Royal Society of London. Series A 222:309--368.
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  • Philosophical Problems of Statistical Inference.Teddy Seidenfeld - 1981 - Philosophical Review 90 (2):295-298.
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  • Subjunctive generalizations.John L. Pollock - 1974 - Synthese 28 (2):199 - 214.
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  • A solution to the problem of induction.John L. Pollock - 1984 - Noûs 18 (3):423-461.
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  • (3 other versions)Epistemology and Probability.John L. Pollock - 1983 - Noûs 17 (1):65.
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  • A theory of direct inference.John L. Pollock - 1983 - Theory and Decision 15 (1):29-95.
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