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  1. (1 other version)Four Decades of Scientific Explanation.Wesley C. Salmon & Anne Fagot-Largeault - 1989 - History and Philosophy of the Life Sciences 16 (2):355.
    As Aristotle stated, scientific explanation is based on deductive argument--yet, Wesley C. Salmon points out, not all deductive arguments are qualified explanations. The validity of the explanation must itself be examined. _Four Decades of Scientific Explanation_ provides a comprehensive account of the developments in scientific explanation that transpired in the last four decades of the twentieth century. It continues to stand as the most comprehensive treatment of the writings on the subject during these years. Building on the historic 1948 essay (...)
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  • Causal explanation.David Lewis - 1986 - In David K. Lewis (ed.), Philosophical Papers Vol. II. Oxford University Press. pp. 214-240.
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  • Complexity results for structure-based causality.Thomas Eiter & Thomas Lukasiewicz - 2002 - Artificial Intelligence 142 (1):53-89.
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  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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  • (2 other versions)Counterfactuals.David Lewis - 1973 - Tijdschrift Voor Filosofie 36 (3):602-605.
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  • (1 other version)Knowledge in Flux. Modeling the Dynamics of Epistemic States.Peter Gärdenfors - 1988 - Studia Logica 49 (3):421-424.
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  • (2 other versions)Counterfactuals. [REVIEW]William Parry - 1973 - Journal of Symbolic Logic 44 (2):278-281.
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  • (2 other versions)Aspects of Scientific Explanation.Asa Kasher - 1965 - Journal of Symbolic Logic 37 (4):747-749.
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  • (2 other versions)Counterfactuals.David Lewis - 1973 - Philosophy of Science 42 (3):341-344.
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  • Knowledge in Flux.Henry E. Kyburg & Peter Gardenfors - 1993 - Noûs 27 (4):519-521.
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  • (1 other version)Causality.Judea Pearl - 2000 - New York: Cambridge University Press.
    Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections (...)
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