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  1. Analogy and exchangeability in predictive inferences.Roberto Festa - 1996 - Erkenntnis 45 (2):229 - 252.
    An important problem in inductive probability theory is the design of exchangeable analogical methods, i.e., of exchangeable inductive methods that take into account certain considerations of analogy by similarity for predictive inferences. Here a precise reformulation of the problem of predictive analogy is given and a new family of exchangeable analogical methods is introduced.Firstly, it is proved that the exchangeable analogical method introduced by Skyrms (1993) does not satisfy the best known general principles of predictive analogy. Secondly, Skyrms's approach — (...)
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  • Analogical Predictions for Explicit Similarity.Jan Willem Romeijn - 2006 - Erkenntnis 64 (2):253 - 280.
    This paper concerns exchangeable analogical predictions based on similarity relations between predicates, and deals with a restricted class of such relations. It describes a system of Carnapian λγ rules on underlying predicate families to model the analogical predictions for this restricted class. Instead of the usual axiomatic definition, the system is characterized with a Bayesian model that employs certain statistical hypotheses. Finally the paper argues that the Bayesian model can be generalized to cover cases outside the restricted class of similarity (...)
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  • Predictive Probability and Analogy by Similarity in Inductive Logic.Maria Concetta Di Maio - 1995 - Erkenntnis 43 (3):369 - 394.
    The λ-continuum of inductive methods was derived from an assumption, called λ-condition, which says that the probability of finding an individual having property $x_{j}$ depends only on the number of observed individuals having property $x_{j}$ and on the total number of observed individuals. So, according to that assumption, all individuals with properties which are different from $x_{j}$ have equal weight with respect to that probability and, in particular, it does not matter whether any individual was observed having some property similar (...)
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  • A Continuum of Inductive Methods Arising from a Generalized Principle of Instantial Relevance.C. J. Nix & J. B. Paris - 2006 - Journal of Philosophical Logic 35 (1):83-115.
    In this paper we consider a natural generalization of the Principle of Instantial Relevance and give a complete characterization of the probabilistic belief functions satisfying this principle as a family of discrete probability functions parameterized by a single real δ ∊ [0, 1).
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  • Two types of inductive analogy by similarity.Theo A. F. Kuipers - 1984 - Erkenntnis 21 (1):63 - 87.
    In section I the notions of logical and inductive probability will be discussed as well as two explicanda, viz. degree of confirmation, the base for inductive probability, and degree of evidential support, Popper's favourite explicandum. In section II it will be argued that Popper's paradox of ideal evidence is no paradox at all; however, it will also be shown that Popper's way out has its own merits.
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  • (1 other version)The aim of inductive logic.Rudolf Carnap - 1996 - Journal of Symbolic Logic 32 (1):3--259.
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  • Probabilities for multiple properties: The models of Hesse and Carnap and Kemeny. [REVIEW]Patrick Maher - 2001 - Erkenntnis 55 (2):183-215.
    In 1959 Carnap published a probability model that was meant to allow forreasoning by analogy involving two independent properties. Maher (2000)derived a generalized version of this model axiomatically and defended themodel''s adequacy. It is thus natural to now consider how the model mightbe extended to the case of more than two properties. A simple extension waspublished by Hess (1964); this paper argues that it is inadequate. Amore sophisticated one was developed jointly by Carnap and Kemeny in theearly 1950s but never (...)
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  • Analogy and inductive logic.Ilkka Niiniluoto - 1981 - Erkenntnis 16 (1):1 - 34.
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