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  1. Bootstrapping the Mind: Analogical Processes and Symbol Systems.Dedre Gentner - 2010 - Cognitive Science 34 (5):752-775.
    Human cognition is striking in its brilliance and its adaptability. How do we get that way? How do we move from the nearly helpless state of infants to the cognitive proficiency that characterizes adults? In this paper I argue, first, that analogical ability is the key factor in our prodigious capacity, and, second, that possession of a symbol system is crucial to the full expression of analogical ability.
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  • Language Helps Children Succeed on a Classic Analogy Task.Stella Christie & Dedre Gentner - 2014 - Cognitive Science 38 (2):383-397.
    Adult humans show exceptional relational ability relative to other species. In this research, we trace the development of this ability in young children. We used a task widely used in comparative research—the relational match-to-sample task, which requires participants to notice and match the identity relation: for example, AA should match BB instead of CD. Despite the simplicity of this relation, children under 4 years of age failed to pass this test (Experiment 1), and their performance did not improve even with (...)
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  • Structure‐Mapping: A Theoretical Framework for Analogy.Dedre Gentner - 1983 - Cognitive Science 7 (2):155-170.
    A theory of analogy must describe how the meaning of an analogy is derived from the meanings of its parts. In the structure‐mapping theory, the interpretation rules are characterized as implicit rules for mapping knowledge about a base domain into a target domain. Two important features of the theory are (a) the rules depend only on syntactic properties of the knowledge representation, and not on the specific content of the domains; and (b) the theoretical framework allows analogies to be distinguished (...)
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  • What Difference Reveals About Similarity.Eyal Sagi, Dedre Gentner & Andrew Lovett - 2012 - Cognitive Science 36 (6):1019-1050.
    Detecting that two images are different is faster for highly dissimilar images than for highly similar images. Paradoxically, we showed that the reverse occurs when people are asked to describe how two images differ—that is, to state a difference between two images. Following structure-mapping theory, we propose that this disassociation arises from the multistage nature of the comparison process. Detecting that two images are different can be done in the initial (local-matching) stage, but only for pairs with low overlap; thus, (...)
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  • Faraday to Einstein: Constructing Meaning in Scientific Theories. Nancy J. Nersessian. [REVIEW]Patrick Enfield - 1985 - Philosophy of Science 52 (4):641-642.
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  • Faraday to Einstein: constructing meaning in scientific theories.Nancy J. Nersessian - 1984 - Hingham, MA: Kluwer Academic Publishers.
    PARTI The Philosophical Situation: A Critical Appraisal We must begin with the mistake and find out the truth in it. That is, we must uncover the source of ...
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  • Language, space, and the development of cognitive flexibility in humans: the case of two spatial memory tasks.L. Hermer-Vazquez - 2001 - Cognition 79 (3):263-299.
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  • Spatial language facilitates spatial cognition: Evidence from children who lack language input.Dedre Gentner, Asli Özyürek, Özge Gürcanli & Susan Goldin-Meadow - 2013 - Cognition 127 (3):318-330.
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  • Systematicity and Surface Similarity in the Development of Analogy.Dedre Gentner & Cecile Toupin - 1986 - Cognitive Science 10 (3):277-300.
    This research investigates the development of analogy: In particular, we wish to study the development of systematicity in analogy. Systematicity refers to the mapping of systems of mutually constraining relations, such as causal chains or chains of implication. A preference for systematic mappings is a central aspect of analogical processing in adults (Gentner, 1980, 1983). This research asks two questions: Does systematicity make analogical mapping easier? And, if so, when, developmentally, do children become able to utilize systematicity?Children aged 5–7 and (...)
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  • The structure-mapping engine: Algorithm and examples.Brian Falkenhainer, Kenneth D. Forbus & Dedre Gentner - 1989 - Artificial Intelligence 41 (1):1-63.
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  • Conceptual Revolutions.Paul Thagard - 1992 - Princeton: Princeton University Press.
    In this path-breaking work, Paul Thagard draws on history and philosophy of science, cognitive psychology, and the field of artificial intelligence to develop a ...
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  • How scientists build models: In vivo science as a window on the scientific mind.Kevin Dunbar - 1999 - In L. Magnani, N. J. Nersessian & P. Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum. pp. 85-99.
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