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  1. Word and Object.Willard Van Orman Quine - 1960 - Les Etudes Philosophiques 17 (2):278-279.
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  • Gambling with Truth: An Essay on Induction and the Aims of Science.Isaac Levi - 1967 - Synthese 17 (1):444-448.
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  • (2 other versions)Principia Mathematica.A. N. Whitehead & B. Russell - 1927 - Annalen der Philosophie Und Philosophischen Kritik 2 (1):73-75.
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  • (1 other version)The Enterprise of Knowledge: An Essay on Knowledge, Credal Probability, and Chance.Patrick Maher - 1984 - Philosophy of Science 51 (4):690-692.
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  • (1 other version)The Foundations of Statistics.Leonard J. Savage - 1956 - Philosophy of Science 23 (2):166-166.
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  • Human Inference: Strategies and Shortcomings of Social Judgment.Christopher Cherniak, Richard Nisbett & Lee Ross - 1983 - Philosophical Review 92 (3):462.
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  • On the relation between the natural logic of reasoning and standard logic.Martin D. Braine - 1978 - Psychological Review 85 (1):1-21.
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  • Confidence in judgment: Persistence of the illusion of validity.Hillel J. Einhorn & Robin M. Hogarth - 1978 - Psychological Review 85 (5):395-416.
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  • On the psychology of prediction.Daniel Kahneman & Amos Tversky - 1973 - Psychological Review 80 (4):237-251.
    Considers that intuitive predictions follow a judgmental heuristic-representativeness. By this heuristic, people predict the outcome that appears most representative of the evidence. Consequently, intuitive predictions are insensitive to the reliability of the evidence or to the prior probability of the outcome, in violation of the logic of statistical prediction. The hypothesis that people predict by representativeness was supported in a series of studies with both naive and sophisticated university students. The ranking of outcomes by likelihood coincided with the ranking by (...)
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  • (1 other version)Judgment under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
    This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...)
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  • Risk and uncertainty: a fallacy of large numbers.P. Samuelson - 1963 - Scientia 57 (98):108.
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  • (1 other version)The Logical Foundations of Probability. [REVIEW]Rudolf Carnap - 1950 - Journal of Philosophy 60 (13):362-364.
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  • Debiasing/Kahneman, D., Slovic, P. and Tversky, A.B. Fischhoff - 1982 - In Daniel Kahneman, Paul Slovic & Amos Tversky (eds.), Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press.
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  • Foreword for R. Revlin & RE Mayer.M. Henle - 1978 - In Russell Revlin & Richard E. Mayer (eds.), Human reasoning. New York: distributed solely by Halsted Press.
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  • The Enterprise of Knowledge: An Essay on Knowledge, Credal Probability, and Chance.Isaac Levi - 1980 - MIT Press.
    This major work challenges some widely held positions in epistemology - those of Peirce and Popper on the one hand and those of Quine and Kuhn on the other.
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  • The Foundations of Statistics.Leonard Savage - 1954 - Wiley Publications in Statistics.
    Classic analysis of the subject and the development of personal probability; one of the greatest controversies in modern statistcal thought.
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  • Probability and the Logic of Rational Belief.Henry Ely Kyburg - 1961 - Middletown, CT, USA: Wesleyan University Press.
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  • (1 other version)Subjective probability : criticisms, reflections and problems. [REVIEW]Henry E. Kyburg Jr - 2010 - In Antony Eagle (ed.), Philosophy of Probability: Contemporary Readings. New York: Routledge. pp. 157 - 180.
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  • Logic, methodology and philosophy of science.Yehoshua Bar-Hillel (ed.) - 1965 - Amsterdam,: North-Holland Pub. Co..
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  • (4 other versions)The Structure of Scientific Revolutions.Thomas Samuel Kuhn - 1962 - Chicago: University of Chicago Press. Edited by Otto Neurath.
    A scientific community cannot practice its trade without some set of received beliefs. These beliefs form the foundation of the "educational initiation that prepares and licenses the student for professional practice". The nature of the "rigorous and rigid" preparation helps ensure that the received beliefs are firmly fixed in the student's mind. Scientists take great pains to defend the assumption that scientists know what the world is like...To this end, "normal science" will often suppress novelties which undermine its foundations. Research (...)
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  • The Logic of Decision.Richard C. Jeffrey - 1965 - New York, NY, USA: University of Chicago Press.
    "[This book] proposes new foundations for the Bayesian principle of rational action, and goes on to develop a new logic of desirability and probabtility."—Frederic Schick, _Journal of Philosophy_.
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  • A Mathematical Theory of Evidence.Glenn Shafer - 1976 - Princeton University Press.
    Degrees of belief; Dempster's rule of combination; Simple and separable support functions; The weights of evidence; Compatible frames of discernment; Support functions; The discernment of evidence; Quasi support functions; Consonance; Statistical evidence; The dual nature of probable reasoning.
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  • (1 other version)Gambling with truth.Isaac Levi - 1967 - Cambridge,: MIT Press.
    This comprehensive discussion of the problem of rational belief develops the subject on the pattern of Bayesian decision theory. The analogy with decision theory introduces philosophical issues not usually encountered in logical studies and suggests some promising new approaches to old problems."We owe Professor Levi a debt of gratitude for producing a book of such excellence. His own approach to inductive inference is not only original and profound, it also clarifies and transforms the work of his predecessors. In short, the (...)
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  • (2 other versions)A treatise of human nature.David Hume - 2007 - In Elizabeth Schmidt Radcliffe, Richard McCarty, Fritz Allhoff & Anand Vaidya (eds.), Late modern philosophy: essential readings with commentary. Oxford: Wiley-Blackwell.
    Unpopular in its day, David Hume's sprawling, three-volume A Treatise of Human Nature (1739-40) has withstood the test of time and had enormous impact on subsequent philosophical thought. Hume's comprehensive effort to form an observationally grounded study of human nature employs John Locke's empiric principles to construct a theory of knowledge from which to evaluate metaphysical ideas. A key to modern studies of eighteenth-century Western philosophy, the Treatise considers numerous classic philosophical issues, including causation, existence, freedom and necessity, and morality. (...)
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  • (4 other versions)The logic of scientific discovery.Karl Raimund Popper - 1934 - New York: Routledge. Edited by Hutchinson Publishing Group.
    Described by the philosopher A.J. Ayer as a work of 'great originality and power', this book revolutionized contemporary thinking on science and knowledge. Ideas such as the now legendary doctrine of 'falsificationism' electrified the scientific community, influencing even working scientists, as well as post-war philosophy. This astonishing work ranks alongside The Open Society and Its Enemies as one of Popper's most enduring books and contains insights and arguments that demand to be read to this day.
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  • (4 other versions)The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - Chicago, IL: University of Chicago Press. Edited by Ian Hacking.
    Thomas S. Kuhn's classic book is now available with a new index.
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  • Mental models and pragmatics.P. N. Johnson-Laird & Ruth M. J. Byrne - 2000 - Behavioral and Brain Sciences 23 (2):284-285.
    Van der Henst argues that the theory of mental models lacks a pragmatic component. He fills the gap with the notion that reasoners draw the most relevant conclusions. We agree, but argue that theories need an element of “nondeterminism.” It is often impossible to predict either what will be most relevant or which particular conclusion an individual will draw.
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  • (2 other versions)Principia mathematica.A. N. Whitehead - 1926 - Mind 35 (137):130.
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  • Deductive cogency in inductive inference.Isaac Levi - 1965 - Journal of Philosophy 62 (3):68-77.
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  • Human Inference: Strategies and Shortcomings of Social Judgment.Richard E. Nisbett & Lee Ross - 1980 - Englewood Cliffs, NJ, USA: Prentice-Hall.
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  • On the psychology of prediction: Whose is the fallacy?L. Jonathan Cohen - 1979 - Cognition 7 (December):385-407.
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  • Whose is the fallacy? A rejoinder to Daniel Kahneman and Amos Tversky.L. Jonathan Cohen - 1980 - Cognition 8 (March):89-92.
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  • Can human irrationality be experimentally demonstrated?L. Jonathan Cohen - 1981 - Behavioral and Brain Sciences 4 (3):317-370.
    The object of this paper is to show why recent research in the psychology of deductive and probabilistic reasoning does not have.
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  • Judgment Under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky (eds.) - 1982 - Cambridge University Press.
    The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important...
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  • Knowledge and the Flow of Information.Fred I. Dretske - 1981 - Stanford, CA: MIT Press.
    This book presents an attempt to develop a theory of knowledge and a philosophy of mind using ideas derived from the mathematical theory of communication developed by Claude Shannon. Information is seen as an objective commodity defined by the dependency relations between distinct events. Knowledge is then analyzed as information caused belief. Perception is the delivery of information in analog form for conceptual utilization by cognitive mechanisms. The final chapters attempt to develop a theory of meaning by viewing meaning as (...)
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  • (1 other version)Precis of knowledge and the flow of information.Fred I. Dretske - 1983 - Behavioral and Brain Sciences 6 (1):55-90.
    A theory of information is developed in which the informational content of a signal (structure, event) can be specified. This content is expressed by a sentence describing the condition at a source on which the properties of a signal depend in some lawful way. Information, as so defined, though perfectly objective, has the kind of semantic property (intentionality) that seems to be needed for an analysis of cognition. Perceptual knowledge is an information-dependent internal state with a content corresponding to the (...)
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  • Consciousness and degrees of belief.D. H. Mellor - 1980 - In David Hugh Mellor (ed.), Prospects for Pragmatism: Essays in Memory of F P Ramsey. New York: Cambridge University Press.
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  • The Psychology of Deductive Reasoning (Psychology Revivals).Jonathan Evans - 2015 - Psychology Press.
    Originally published in 1982, this was an extensive and up-to-date review of research into the psychology of deductive reasoning, Jonathan Evans presents an alternative theoretical framework to the rationalist approach which had dominated much of the published work in this field at the time. The review falls into three sections. The first is concerned with elementary reasoning tasks, in which response latency is the prime measure of interest. The second and third sections are concerned with syllogistic and propositional reasoning respectively, (...)
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  • (4 other versions)The Logic of Scientific Discovery.Karl Popper - 1959 - Studia Logica 9:262-265.
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  • (2 other versions)The Logic of Decision.Brian Skyrms - 1965 - Journal of Symbolic Logic 50 (1):247-248.
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  • (2 other versions)A Treatise of Human Nature.David Hume & A. D. Lindsay - 1958 - Philosophical Quarterly 8 (33):379-380.
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  • (2 other versions)Knowledge and the flow of information.F. Dretske - 1989 - Trans/Form/Ação 12:133-139.
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  • Psychology of Reasoning: Structure and Content.P. C. Wason & P. N. Johnson - 1974 - Philosophy and Rhetoric 7 (3):193-197.
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  • Prospects for Pragmatism: Essays in Memory of F P Ramsey.David Hugh Mellor (ed.) - 1980 - New York: Cambridge University Press.
    SUSAN HAACK . . . if we believe pq to the extent of iand pq to the extent of i, we are bound in consistency to believe p also to the degree of i . . . but ...
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  • The probable and the provable.Laurence Jonathan Cohen - 1977 - Oxford: Clarendon Press.
    The book was planned and written as a single, sustained argument. But earlier versions of a few parts of it have appeared separately. The object of this book is both to establish the existence of the paradoxes, and also to describe a non-Pascalian concept of probability in terms of which one can analyse the structure of forensic proof without giving rise to such typical signs of theoretical misfit. Neither the complementational principle for negation nor the multiplicative principle for conjunction applies (...)
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  • (1 other version)On indeterminate probabilities.Isaac Levi - 1974 - Journal of Philosophy 71 (13):391-418.
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  • That positive instances are no help.Hughes Leblanc - 1963 - Journal of Philosophy 60 (16):453-462.
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  • (1 other version)Subjective probability: Criticisms, reflections, and problems.H. Kyburg - 1978 - Journal of Philosophical Logic 7 (1):157 - 180.
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  • (1 other version)A definition of "degree of confirmation".Carl G. Hempel & Paul Oppenheim - 1945 - Philosophy of Science 12 (2):98-115.
    1. The problem. The concept of confirmation of an hypothesis by empirical evidence is of fundamental importance in the methodology of empirical science. For, first of all, a sentence cannot even be considered as expressing an empirical hypothesis at all unless it is theoretically capable of confirmation or disconfirmation, i.e. unless the kind of evidence can be characterized whose occurrence would confirm, or disconfirm, the sentence in question. And secondly, the acceptance or rejection of a sentence which does represent an (...)
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  • Bayesian Personalism, the Methodology of Scientific Research Programmes, and Duhem's Problem.Jon Dorling - 1979 - Studies in History and Philosophy of Science Part A 10 (3):177.
    The detailed analysis of a particular quasi-historical numerical example is used to illustrate the way in which a Bayesian personalist approach to scientific inference resolves the Duhemian problem of which of a conjunction of hypotheses to reject when they jointly yield a prediction which is refuted. Numbers intended to be approximately historically accurate for my example show, in agreement with the views of Lakatos, that a refutation need have astonishingly little effect on a scientist's confidence in the ‘hard core’ of (...)
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