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Reasoning defeasibly about probabilities

Synthese 181 (2):317-352 (2011)

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  1. The Logic of Scientific Discovery.Karl R. Popper - 1935 - London, England: Routledge.
    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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  • Propensities and Probabilities. [REVIEW]Henry E. Kyberg - 1974 - British Journal for the Philosophy of Science 25 (4):358-375.
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  • Causal Necessity.Brian Skyrms - 1981 - Philosophy of Science 48 (2):329-335.
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  • Causal necessity: a pragmatic investigation of the necessity of laws.Brian Skyrms - 1980 - New Haven: Yale University Press.
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  • Unfair to frequencies.Lawrence Sklar - 1973 - Journal of Philosophy 70 (2):41-52.
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  • Is probability a dispositional property?Lawrence Sklar - 1970 - Journal of Philosophy 67 (11):355-366.
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  • The propensity interpretation of probability.Karl R. Popper - 1959 - British Journal for the Philosophy of Science 10 (37):25-42.
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  • 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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  • A set of independent axioms for probability.Karl R. Popper - 1938 - Mind 47 (186):275-277.
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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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  • Foundations for direct inference.John L. Pollock - 1994 - Theory and Decision 17 (3):221-255.
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  • A theory of direct inference.John L. Pollock - 1983 - Theory and Decision 15 (1):29-95.
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  • The foundations of philosophical semantics.John L. Pollock - 1984 - Princeton University Press. Edited by Lloyd Humberstone.
    Princeton University Press, 984. This book is out of print, but can be downloaded as a pdf file (3.9 MB).
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  • The Propensity Interpretation of the Calculus of Probability, and the Quantum Theory.Karl R. Popper - 1957 - In Stefan Körner (ed.), Observation and Interpretation: A Symposium of Philosophers and Physicists. Butterworth. pp. 65--70.
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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 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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  • The Logic of Decision.Henry E. Kyberg - 1968 - Philosophical Review 77 (2):250.
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  • Probability and the logic of rational belief.Henry Ely Kyburg - 1961 - Middletown, Conn.,: Wesleyan University Press.
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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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  • An algorithm for probabilistic planning.Nicholas Kushmerick, Steve Hanks & Daniel S. Weld - 1995 - Artificial Intelligence 76 (1-2):239-286.
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  • Probability and Induction. [REVIEW]Albert A. Bennett - 1949 - Journal of Symbolic Logic 14 (3):187-188.
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  • Probability and Induction. By William Kneale, Fellow of Exeter College and Lecturer in Philosophy in the University of Oxford. [REVIEW]Edmund Whittaker - 1949 - Philosophy 24 (91):372-374.
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  • Probability and induction II.William Kneale - 1949 - Mind 60 (239):310-317.
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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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  • Aspects of inductive logic.Jaakko Hintikka - 1967 - Amsterdam,: North Holland Pub. Co.. Edited by Patrick Suppes.
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  • Review of Gilbert Harman: Change in View: Principles of Reasoning[REVIEW]Howard Margolis - 1986 - Ethics 99 (4):966-966.
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  • An analysis of first-order logics of probability.Joseph Y. Halpern - 1990 - Artificial Intelligence 46 (3):311-350.
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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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  • Review of William Kneale Probability and Induction. [REVIEW]D. R. Cousin - 1951 - Philosophical Quarterly 1 (2):177.
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  • The Logical Foundations of Probability. [REVIEW]Rudolf Carnap - 1950 - Journal of Philosophy 60 (13):362-364.
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  • From statistical knowledge bases to degrees of belief.Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern & Daphne Koller - 1996 - Artificial Intelligence 87 (1-2):75-143.
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  • The theory of probability.Hans Reichenbach - 1949 - Berkeley,: University of California Press.
    We must restrict to mere probability not only statements of comparatively great uncertainty, like predictions about the weather, where we would cautiously ...
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  • Change in View: Principles of Reasoning.Gilbert Harman - 1986 - Cambridge, MA, USA: MIT Press.
    Change in View offers an entirely original approach to the philosophical study of reasoning by identifying principles of reasoning with principles for revising one's beliefs and intentions and not with principles of logic. This crucial observation leads to a number of important and interesting consequences that impinge on psychology and artificial intelligence as well as on various branches of philosophy, from epistemology to ethics and action theory. Gilbert Harman is Professor of Philosophy at Princeton University. A Bradford Book.
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  • Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.
    The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
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  • Human Knowledge: Its Scope and Limits.Bertrand Russell - 1948 - London and New York: Routledge.
    How do we know what we "know"? How did we –as individuals and as a society – come to accept certain knowledge as fact? In _Human Knowledge,_ Bertrand Russell questions the reliability of our assumptions on knowledge. This brilliant and controversial work investigates the relationship between ‘individual’ and ‘scientific’ knowledge. First published in 1948, this provocative work contributed significantly to an explosive intellectual discourse that continues to this day.
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  • The logic of chance.John Venn - 1876 - Mineola, N.Y.: Dover Publications.
    No mathematical background is necessary to appreciate this classic of probability theory, which remains unsurpassed in its clarity, readability, and sheer charm. Its author, British logician John Venn (1834-1923), popularized the famous Venn Diagrams that are commonly used in teaching elementary mathematics.
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  • The Foundations of Statistics.Leonard J. 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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  • Cognitive Carpentry: A Blueprint for how to Build a Person.John L. Pollock - 1995 - MIT Press.
    "A sequel to Pollock's How to Build a Person, this volume builds upon that theoretical groundwork for the implementation of rationality through artificial ...
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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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  • Thinking About Acting: Logical Foundations for Rational Decision Making.John L. Pollock - 2006 - Oxford, England: Oxford University Press, Usa. Edited by John Pollock.
    Pollock argues that theories of ideal rationality are largely irrelevant to the decision making of real agents. Thinking about Acting aims to provide a theory of "real rationality.".
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  • 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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  • The Foundations of Statistics.Leonard J. Savage - 1954 - Synthese 11 (1):86-89.
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  • The Foundations of Statistics.Leonard J. Savage - 1956 - Philosophy of Science 23 (2):166-166.
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  • Human Knowledge, Its Scope and Limits.Bertrand Russell - 1949 - Mind 58 (231):369-378.
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  • Human Knowledge, Its Scope and Limits.Bertrand Russell - 1949 - Revue de Métaphysique et de Morale 54 (2):198-199.
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