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  1. Explanatory coherence (plus commentary).Paul Thagard - 1989 - Behavioral and Brain Sciences 12 (3):435-467.
    This target article presents a new computational theory of explanatory coherence that applies to the acceptance and rejection of scientific hypotheses as well as to reasoning in everyday life, The theory consists of seven principles that establish relations of local coherence between a hypothesis and other propositions. A hypothesis coheres with propositions that it explains, or that explain it, or that participate with it in explaining other propositions, or that offer analogous explanations. Propositions are incoherent with each other if they (...)
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  • (1 other version)Induction: Processes of Inference, Learning, and Discovery.John H. Holland, Keith J. Holyoak, Richard E. Nisbett & Paul R. Thagard - 1988 - Behaviorism 16 (2):181-184.
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  • On differentiation: A case study of the development of the concepts of size, weight, and density.Carol Smith, Susan Carey & Marianne Wiser - 1985 - Cognition 21 (3):177-237.
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  • A Taxonomy of Part‐Whole Relations.Morton E. Winston, Roger Chaffin & Douglas Herrmann - 1987 - Cognitive Science 11 (4):417-444.
    A taxonomy of part‐whole or meronymic relations is developed to explain the ordinary English‐speaker's use of the term “part of” and its cognates. The resulting classification yields six types of meronymic relations: 1. component‐integral object (pedal‐bike), 2. member‐collection (ship‐fleet), 3. portion‐mass (slice‐pie), 4. stuff‐object (steel‐car), 5. feature‐activity (paying‐shopping), and 6. place‐area (Everglades‐Florida). Meronymic relations ore further distinguished from other inclusion relations, such as spatial inclusion, and class inclusion, and from several other semantic relations: attribution, attachment, and ownership. This taxonomy is (...)
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  • Conceptual change in science and in science education.Nancy J. Nersessian - 1989 - Synthese 80 (1):163 - 183.
    There is substantial evidence that traditional instructional methods have not been successful in helping students to restructure their commonsense conceptions and learn the conceptual structures of scientific theories. This paper argues that the nature of the changes and the kinds of reasoning required in a major conceptual restructuring of a representation of a domain are fundamentally the same in the discovery and in the learning processes. Understanding conceptual change as it occurs in science and in learning science will require the (...)
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  • Concepts and conceptual change.Paul R. Thagard - 1990 - Synthese 82 (2):255-74.
    This paper argues that questions concerning the nature of concepts that are central in cognitive psychology are also important to epistemology and that there is more to conceptual change than mere belief revision. Understanding of epistemic change requires appreciation of the complex ways in which concepts are structured and organized and of how this organization can affect belief revision. Following a brief summary of the psychological functions of concepts and a discussion of some recent accounts of what concepts are, I (...)
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  • Frames, knowledge, and inference.Paul R. Thagard - 1984 - Synthese 61 (2):233 - 259.
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