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Probability, explanation, and information

Synthese 48 (2):233 - 256 (1981)

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  1. A deductive-nomological model of probabilistic explanation.Peter Railton - 1978 - Philosophy of Science 45 (2):206-226.
    It has been the dominant view that probabilistic explanations of particular facts must be inductive in character. I argue here that this view is mistaken, and that the aim of probabilistic explanation is not to demonstrate that the explanandum fact was nomically expectable, but to give an account of the chance mechanism(s) responsible for it. To this end, a deductive-nomological model of probabilistic explanation is developed and defended. Such a model has application only when the probabilities occurring in covering laws (...)
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  • Maximal specificity and lawlikeness in probabilistic explanation.Carl Gustav Hempel - 1968 - Philosophy of Science 35 (2):116-133.
    The article is a reappraisal of the requirement of maximal specificity (RMS) proposed by the author as a means of avoiding "ambiguity" in probabilistic explanation. The author argues that RMS is not, as he had held in one earlier publication, a rough substitute for the requirement of total evidence, but is independent of it and has quite a different rationale. A group of recent objections to RMS is answered by stressing that the statistical generalizations invoked in probabilistic explanations must be (...)
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  • Aspects of scientific explanation.Carl G. Hempel - 1965 - In Philosophy and Phenomenological Research. Free Press. pp. 504.
  • On Human Communication.Models of Man.Colin Cherry & Herbert A. Simon - 1958 - Philosophy and Phenomenological Research 18 (4):549-550.
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  • Semantic information.Yehoshua Bar-Hillel & Rudolf Carnap - 1953 - British Journal for the Philosophy of Science 4 (14):147-157.