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  1. Carnap’s Theory of Probability and Induction.John G. Kemeny - 1963 - In Paul Arthur Schilpp (ed.), The philosophy of Rudolf Carnap. La Salle, Ill.,: Open Court. pp. 711--738.
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  • (1 other version)Logical foundations of probability.Rudolf Carnap - 1950 - Chicago]: Chicago University of Chicago Press.
    APA PsycNET abstract: This is the first volume of a two-volume work on Probability and Induction. Because the writer holds that probability logic is identical with inductive logic, this work is devoted to philosophical problems concerning the nature of probability and inductive reasoning. The author rejects a statistical frequency basis for probability in favor of a logical relation between two statements or propositions. Probability "is the degree of confirmation of a hypothesis (or conclusion) on the basis of some given evidence (...)
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  • (2 other versions)Studies in Inductive Logic and Probability.Rudolf Carnap & Richard C. Jeffrey (eds.) - 1971 - University of California Press.
    A basic system of inductive logic; An axiomatic foundation for the logic of inductive generalization; A survey of inductive systems; On the condition of partial exchangeability; Representation theorems of the de finetti type; De finetti's generalizations of excahngeability; The structure of probabilities defined on first-order languages; A subjectivit's guide to objective chance.
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  • Predicting the unpredictable.S. L. Zabell - 1992 - Synthese 90 (2):205-232.
    A major difficulty for currently existing theories of inductive inference involves the question of what to do when novel, unknown, or previously unsuspected phenomena occur. In this paper one particular instance of this difficulty is considered, the so-called sampling of species problem.The classical probabilistic theories of inductive inference due to Laplace, Johnson, de Finetti, and Carnap adopt a model of simple enumerative induction in which there are a prespecified number of types or species which may be observed. But, realistically, this (...)
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  • Common sense and maximum entropy.Jeff Paris - 1998 - Synthese 117 (1):75-93.
    This paper concerns the question of how to draw inferences common sensically from uncertain knowledge. Since the early work of Shore and Johnson (1980), Paris and Vencovská (1990), and Csiszár (1989), it has been known that the Maximum Entropy Inference Process is the only inference process which obeys certain common sense principles of uncertain reasoning. In this paper we consider the present status of this result and argue that within the rather narrow context in which we work this complete and (...)
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  • Popper’s qualitative theory of verisimilitude.David Miller - 1974 - British Journal for the Philosophy of Science 25 (2):166-177.
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  • Induktive Logik und Wahrscheinlichkeit.Rudolf Carnap & Wolfgang Stegmüller - 2012 - Springer.
    Dieses Buch stellt eine neue, von CARNAP entwickelte Theorie der Induktion und Wahrscheinlichkeit dar, die durch die folgenden grund legenden Auffassungen charakterisiert ist. 1. Jedes induktive Schließen, im weiten Sinne des nichtdeduktiven oder nichtdemonstrativen Schlu߭ folgerns, ist ein Schließen auf Grund von Wahrscheinlichkeit. 2. Daher ist die induktive Logik als Theorie von den Prinzipien des induktiven Schließens dasselbe wie Wahrscheinlichkeitslogik. 3. Der Begriff der Wahrscheinlichkeit, der als Grundbegriff der induktiven Logik dienen soll, ist eine logische Relation zwischen zwei Aussagen oder (...)
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  • Probability: The deductive and inductive problems.W. E. Johnson - 1932 - Mind 41 (164):409-423.
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  • The development of my thinking.Rudolf Carnap - 1963 - In Paul Arthur Schilpp (ed.), The philosophy of Rudolf Carnap. La Salle, Ill.,: Open Court. pp. 23--24.
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  • Theories of Probability.Terrence Fine - 1973 - Academic Press.
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