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Causality, propensity, and bayesian networks

Synthese 132 (1-2):63 - 88 (2002)

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  1. How the laws of physics lie.Nancy Cartwright - 1983 - New York: Oxford University Press.
    In this sequence of philosophical essays about natural science, the author argues that fundamental explanatory laws, the deepest and most admired successes of modern physics, do not in fact describe regularities that exist in nature. Cartwright draws from many real-life examples to propound a novel distinction: that theoretical entities, and the complex and localized laws that describe them, can be interpreted realistically, but the simple unifying laws of basic theory cannot.
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  • (1 other version)The direction of time.Hans Reichenbach - 1956 - Mineola, N.Y.: Dover Publications. Edited by Maria Reichenbach.
    The final work of a distinguished physicist, this remarkable volume examines the emotive significance of time, the time order of mechanics, the time direction of thermodynamics and microstatistics, the time direction of macrostatistics, and the time of quantum physics. Coherent discussions include accounts of analytic methods of scientific philosophy in the investigation of probability, quantum mechanics, the theory of relativity, and causality. "[Reichenbach’s] best by a good deal."—Physics Today. 1971 ed.
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  • (2 other versions)Critique of Pure Reason.I. Kant - 1787/1998 - Philosophy 59 (230):555-557.
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  • (4 other versions)The Logic of Scientific Discovery.Karl Popper - 1959 - Studia Logica 9:262-265.
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  • (4 other versions)The Logic of Scientific Discovery.K. Popper - 1959 - British Journal for the Philosophy of Science 10 (37):55-57.
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  • (1 other version)Causality and explanation.Wesley C. Salmon - 1998 - New York: Oxford University Press.
    Wesley Salmon is renowned for his seminal contributions to the philosophy of science. He has powerfully and permanently shaped discussion of such issues as lawlike and probabilistic explanation and the interrelation of explanatory notions to causal notions. This unique volume brings together twenty-six of his essays on subjects related to causality and explanation, written over the period 1971-1995. Six of the essays have never been published before and many others have only appeared in obscure venues. The volume includes a section (...)
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  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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  • Philosophical Theories of Probability.Donald Gillies - 2000 - New York: Routledge.
    The Twentieth Century has seen a dramatic rise in the use of probability and statistics in almost all fields of research. This has stimulated many new philosophical ideas on probability. _Philosophical Theories of Probability_ is the first book to present a clear, comprehensive and systematic account of these various theories and to explain how they relate to one another. Gillies also offers a distinctive version of the propensity theory of probability, and the intersubjective interpretation, which develops the subjective theory.
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  • The Direction of Time.Hans Reichenbach - 1956 - Philosophy 34 (128):65-66.
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  • Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.J. Pearl, F. Bacchus, P. Spirtes, C. Glymour & R. Scheines - 1988 - Synthese 104 (1):161-176.
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  • (1 other version)The propensity interpretation of probability.Karl R. Popper - 1959 - British Journal for the Philosophy of Science 10 (37):25-42.
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  • A Probabilistic Theory of Causality.P. Suppes - 1973 - British Journal for the Philosophy of Science 24 (4):409-410.
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  • (1 other version)Statistical explanation.Wesley C. Salmon - 1970 - In Robert G. Colodny (ed.), The Nature and Function of Scientific Theories: Essays in Contemporary Science and Philosophy. University of Pittsburgh Press. pp. 173--231.
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  • (1 other version)A propensity interpretation of probability.Karl Popper - 2010 - In Antony Eagle (ed.), Philosophy of Probability: Contemporary Readings. New York: Routledge.
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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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  • Fusion, propagation, and structuring in belief networks.Judea Pearl - 1986 - Artificial Intelligence 29 (3):241-288.
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  • (1 other version)Why propensities cannot be probabilities.Paul Humphreys - 1985 - Philosophical Review 94 (4):557-570.
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  • (2 other versions)Probabilistic Causality.Wesley C. Salmon - 1980 - Pacific Philosophical Quarterly 61 (1-2):50-74.
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  • Varieties of propensity.Donald Gillies - 2000 - British Journal for the Philosophy of Science 51 (4):807-835.
    The propensity interpretation of probability was introduced by Popper ([1957]), but has subsequently been developed in different ways by quite a number of philosophers of science. This paper does not attempt a complete survey, but discusses a number of different versions of the theory, thereby giving some idea of the varieties of propensity. Propensity theories are classified into (i) long-run and (ii) single-case. The paper argues for a long-run version of the propensity theory, but this is contrasted with two single-case (...)
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  • (2 other versions)Probabilistic Causality.Wesley C. Salmon - 1980 - In Causation (Oxford Readings in Philosophy). Oxford Up. pp. 137-153.
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  • The Direction of Time.Milic Capek - 1959 - Philosophy and Phenomenological Research 19 (3):402-405.
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  • (1 other version)A World of Propensities.Karl R. Popper - 1991 - Mind 100 (1):161-162.
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  • (1 other version)A World of Propensities.Karl R. Popper - 1991 - Philosophy 66 (257):392-394.
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  • A World of Propensities.Karl Raimund Popper - 1990 - Thoemmes.
    This book contains two lectures - given in 1988 and 1989 respectively - which belong to Karl Popper's late work, most of which is still unpublished. The first introduces a new view of causality, based on Popper's interpretation of quantum theory, yet freed of difficulty. It is a new view of the universe - a view that easily merges with the commonsense view that our will is free. The second lecture gives a glimpse of human knowledge as it evolves from (...)
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  • Objective probabilities in expert systems.L. E. Sucar, D. F. Gillies & D. A. Gillies - 1993 - Artificial Intelligence 61 (2):187-208.
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  • Foundations for Bayesian networks.Jon Williamson - 2001 - In David Corfield & Jon Williamson (eds.), Foundations of Bayesianism. Kluwer Academic Publishers. pp. 75--115.
    Bayesian networks may either be treated purely formally or be given an interpretation. I argue that current foundations are problematic, and put forward new foundations which involve aspects of both the interpreted and the formal approaches.
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  • Debates on Bayesianism and the theory of Bayesian networks.Donald Gillies - 1998 - Theoria 64 (1):1-22.
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  • Using hidden nodes in Bayesian networks.Chee-Keong Kwoh & Duncan Fyfe Gillies - 1996 - Artificial Intelligence 88 (1-2):1-38.
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  • Propensities: A discussion review. [REVIEW]Wesley C. Salmon - 1979 - Erkenntnis 14 (2):183 - 216.
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