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  1. The role of ambiguity in manipulating voter behavior.Raymond Dacey - 1979 - Theory and Decision 10 (1-4):265-279.
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  • Theory-distance and verisimilitude.Raimo Tuomela - 1978 - Synthese 38 (2):213 - 246.
    Measures of theory-Distance are defined for theories formalizable within first-Order predicate logic by using distributive normal forms. The account is applied to give measures of verisimilitude.
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  • Inductive explanation.Raimo Tuomela - 1981 - Synthese 48 (2):257 - 294.
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  • Model theory and empirical interpretation of scientific theories.Raimo Tuomela - 1972 - Synthese 25 (1-2):165 - 175.
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  • On the structuralist approach to the dynamics of theories.Raimo Tuomela - 1978 - Synthese 39 (2):211 - 231.
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  • Dispositions, realism, and explanation.Raimo Tuomela - 1977 - Synthese 34 (4):457 - 478.
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  • Explaining explaining.Raimo Tuomela - 1980 - Erkenntnis 15 (2):211 - 243.
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  • Empiricist vs. realist semantics and model theory.Raimo Tuomela - 1974 - Synthese 26 (3-4):407 - 408.
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  • Analogy and distance.Raimo Tuomela - 1980 - Zeitschrift Für Allgemeine Wissenschaftstheorie 11 (2):276-291.
    Summary The paper presents a technical analysis of the notion of analogy by means of the notion of conceptual similarity (the inverse of distance). The main idea is to elucidate the analogy (similarity) between predicates (properties) in terms of the higher-order predicates they share or fail to share. The notions of predicate-similarity and theory-similarity (defined as the inverse of theory-distance) are then combined to give an analysis of the analogy between conceptual systems.
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  • Disciplining qualitative decision exercises: Aspects of a transempirical protocol.John W. Sutherland - 1990 - Theory and Decision 29 (2):85-118.
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  • Are “All-and-Some” Statements Falsifiable After All?: The Example of Utility Theory.Philippe Mongin - 1986 - Economics and Philosophy 2 (2):185-195.
    Popper's well-known demarcation criterion has often been understood to distinguish statements of empirical science according to their logical form. Implicit in this interpretation of Popper's philosophy is the belief that when the universe of discourse of the empirical scientist is infinite, empirical universal sentences are falsifiable but not verifiable, whereas the converse holds for existential sentences. A remarkable elaboration of this belief is to be found in Watkins's early work on the statements he calls “all-and-some,” such as: “For every metal (...)
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  • Is there any theoretical justification for a nonstatement view of theories?David Pearce - 1981 - Synthese 46 (1):1 - 39.
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  • Unification and Confirmation.Ilkka Niiniluoto - 2016 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 31 (1):107-123.
    According to the traditional requirement, formulated by William Whewell in his account of the “consilience of inductions” in 1840, a scientific hypothesis should have unifying power in the sense that it explains and predicts several mutually independent phenomena. Variants of this notion of consilience or unification include deductive, inductive, and approximate systematization. Inference from surprising phenomena to their theoretical explanations was called abduction by Charles Peirce. As a unifying theory is independently testable by new kinds of phenomena, it should also (...)
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  • Structural Rules for Abduction.Ilka Niiniluoto - 2009 - Theoria 22 (3):325-329.
    Atocha Aliseda gives in Abductive Reasoning a structural characterization of the forward explanatory reasoning from a theory to observational data. This paper discusses the converse problem of giving structural rules for the backward abductive reasoning from observations to explanatory theories.
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  • Inductive systematization: Definition and a critical survey.Ilkka Niiniluoto - 1972 - Synthese 25 (1-2):25 - 81.
    In 1958, to refute the argument known as the theoretician's dilemma, Hempel suggested that theoretical terms might be logically indispensable for inductive systematization of observational statements. This thesis, in some form or another, has later been supported by Scheffler, Lehrer, and Tuomela, and opposed by Bohnert, Hooker, Stegmüller, and Cornman. In this paper, a critical survey of this discussion is given. Several different putative definitions of the crucial notion inductive systematization achieved by a theory are discussed by reference to the (...)
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  • A Bayesian Account of the Virtue of Unification.Wayne C. Myrvold - 2003 - Philosophy of Science 70 (2):399-423.
    A Bayesian account of the virtue of unification is given. On this account, the ability of a theory to unify disparate phenomena consists in the ability of the theory to render such phenomena informationally relevant to each other. It is shown that such ability contributes to the evidential support of the theory, and hence that preference for theories that unify the phenomena need not, on a Bayesian account, be built into the prior probabilities of theories.
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  • Structuralisme et empirisme: l'approche ensembliste des théories physiques.Jean Leroux - 1986 - Dialogue 25 (1):143-.
    La parution de la monographic de Sneed,The Logical Structure of Mathematical Physics a suscité un renouveau d'intérêt en philosophie contemporaine des sciences. Cet ouvrage arrivait à un moment où l'épistémologie des sciences, telle que développée dans les milieux germaniques et anglo-saxons, accusait de graves insuffisances dans la reconstruction rationnelle du développement historique des théories physiques. Mis sur la défensive par les thèses et arguments historiques de Kuhn et de Feyerabend, ces milieux « orthodoxes » devaient reconnaitre l'état embryonnaire de ce (...)
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  • Conceptual correlation: An example of two social psychological theories.Martti Kuokkanen - 1986 - Theory and Decision 20 (1):1-32.
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  • Physical Laws, Physical Entities and Ontology.E. Kaeser - 1977 - Dialectica 31 (3‐4):273-299.
    We investigate the way physical laws objectively refer to the entities they are about. Laws of mathematical physics do not refer directly to the “real world” but to an ideal specific domain of objects, which we term “scope”. In order to find out which real objects physical laws deal with, reference to the scope is not sufficient. We need in addition the search for domains to which laws apply — i. e. “empirical domains”— in order to establish their reference to (...)
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  • Points of View: A Conceptual Space Approach.Antti Hautamäki - 2016 - Foundations of Science 21 (3):493-510.
    Points of view are a central phenomenon in human cognition. Although the concept of point of view is ambiguous, there exist common elements in different notions. A point of view is a certain way to look at things around us. In conceptual points of view, things are looked at or interpreted through conceptual lenses. Conceptual points of view are important for epistemology, cognitive science, and philosophy of science. In this article, a new method to formalize conceptual points of view is (...)
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  • Structural rules for abduction.Ilka Niiniluoto - 2007 - Theoria 22 (3):325-329.
    Atocha Aliseda’s Abductive Reasoning (2006) gives a structural characterization of the “forward” explana-tory reasoning from a theory to observational data. This paper asks whether there are any interesting structural rules for the “backward” abductive reasoning from observations to explanatory theories. Ignoring statistical cases, a partial explication of abduction is converse deductive explanation: h is abducible from e iff h deductively explains e. This relation of abducibility trivially satisfies Converse Entailment (if h entails e, then h is abducible from e ), (...)
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  • Criteria of Empirical Significance: Foundations, Relations, Applications.Sebastian Lutz - 2012 - Dissertation, Utrecht University
    This dissertation consists of three parts. Part I is a defense of an artificial language methodology in philosophy and a historical and systematic defense of the logical empiricists' application of an artificial language methodology to scientific theories. These defenses provide a justification for the presumptions of a host of criteria of empirical significance, which I analyze, compare, and develop in part II. On the basis of this analysis, in part III I use a variety of criteria to evaluate the scientific (...)
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