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  1. (1 other version)Scientific Explanation and the Causal Structure of the World.Wesley C. Salmon - 1984 - Princeton University Press.
    The philosophical theory of scientific explanation proposed here involves a radically new treatment of causality that accords with the pervasively statistical character of contemporary science. Wesley C. Salmon describes three fundamental conceptions of scientific explanation--the epistemic, modal, and ontic. He argues that the prevailing view is untenable and that the modal conception is scientifically out-dated. Significantly revising aspects of his earlier work, he defends a causal/mechanical theory that is a version of the ontic conception. Professor Salmon's theory furnishes a robust (...)
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  • Nature's capacities and their measurement.Nancy Cartwright - 1989 - New York: Oxford University Press.
    Ever since David Hume, empiricists have barred powers and capacities from nature. In this book Cartwright argues that capacities are essential in our scientific world, and, contrary to empiricist orthodoxy, that they can meet sufficiently strict demands for testability. Econometrics is one discipline where probabilities are used to measure causal capacities, and the technology of modern physics provides several examples of testing capacities (such as lasers). Cartwright concludes by applying the lessons of the book about capacities and probabilities to the (...)
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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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  • 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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  • Placental Transfer and Synthesis of Hormones.John H. Holland - 1973
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  • (1 other version)The role of theories in conceptual coherence.Gregory L. Murphy & Douglas L. Medin - 1985 - Psychological Review 92 (3):289-316.
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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)ALCOVE: An exemplar-based connectionist model of category learning.John K. Kruschke - 1992 - Psychological Review 99 (1):22-44.
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  • Review of T he Direction of Time.Henryk Mehlberg - 1962 - Philosophical Review 71 (1):99.
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  • (1 other version)Induction: Processes of Inference, Learning, and Discovery.John H. Holland, Keith J. Holyoak, Richard E. Nisbett & Paul R. Thagard - 1991 - British Journal for the Philosophy of Science 42 (2):269-272.
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  • Scientific Explanation and the Causal Structure of the World. Wesley Salmon.James H. Fetzer - 1987 - Philosophy of Science 54 (4):597-610.
    If the decades of the forties through the sixties were dominated by discussion of Hempel's “covering law“ explication of explanation, that of the seventies was preoccupied with Salmon's “statistical relevance” conception, which emerged as the principal alternative to Hempel's enormously influential account. Readers of Wesley C. Salmon's Scientific Explanation and the Causal Structure of the World, therefore, ought to find it refreshing to discover that its author has not remained content with a facile defense of his previous investigations; on the (...)
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  • The adaptive nature of human categorization.John R. Anderson - 1991 - Psychological Review 98 (3):409-429.
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  • Probabilistic reasoning in clinical medicine: Problems and opportunities.David M. Eddy - 1982 - In Daniel Kahneman, Paul Slovic & Amos Tversky (eds.), Judgment Under Uncertainty: Heuristics and Biases. Cambridge University Press. pp. 249--267.
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  • Covariation in natural causal induction.Patricia W. Cheng & Laura R. Novick - 1992 - Psychological Review 99 (2):365-382.
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  • Context theory of classification learning.Douglas L. Medin & Marguerite M. Schaffer - 1978 - Psychological Review 85 (3):207-238.
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  • On the Interaction of Theory and Data in Concept Learning.Edward J. Wisniewski & Douglas L. Medin - 1994 - Cognitive Science 18 (2):221-281.
    Standard models of concept learning generally focus on deriving statistical properties of a category based on data (i.e., category members and the features that describe them) but fail to give appropriate weight to the contact between people's intuitive theories and these data. Two experiments explored the role of people's prior knowledge or intuitive theories on category learning by manipulating the labels associated with the category. Learning differed dramatically when categories of children's drawings were meaningfully labeled (e.g., “done by creative children”) (...)
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  • (1 other version)The role of theories in conceptual coherence.G. L. Murphy & D. L. Medin - 1999 - In Eric Margolis & Stephen Laurence (eds.), Concepts: Core Readings. MIT Press. pp. 289--316.
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  • Multicausal inference: Evaluation of evidence in causally complex situations.Cathryn J. Downing, Robert J. Sternberg & Brian H. Ross - 1985 - Journal of Experimental Psychology 114 (2):239-263.
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  • Causal modeling: New directions for statistical explanation.Gurol Irzik & Eric Meyer - 1987 - Philosophy of Science 54 (4):495-514.
    Causal modeling methods such as path analysis, used in the social and natural sciences, are also highly relevant to philosophical problems of probabilistic causation and statistical explanation. We show how these methods can be effectively used (1) to improve and extend Salmon's S-R basis for statistical explanation, and (2) to repair Cartwright's resolution of Simpson's paradox, clarifying the relationship between statistical and causal claims.
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  • Configural effect in multiple-cue probability learning.Stephen E. Edgell & N. John Castellan - 1973 - Journal of Experimental Psychology 100 (2):310.
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