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  1. Familiarity, Priming, and Perception in Similarity Judgments.M. Hiatt Laura & J. Gregory Trafton - 2017 - Cognitive Science 41 (6):1450-1484.
    We present a novel way of accounting for similarity judgments. Our approach posits that similarity stems from three main sources—familiarity, priming, and inherent perceptual likeness. Here, we explore each of these constructs and demonstrate their individual and combined effectiveness in explaining similarity judgments. Using these three measures, our account of similarity explains ratings of simple, color-based perceptual stimuli that display asymmetry effects, as well as more complicated perceptual stimuli with structural properties; more traditional approaches to similarity solve one or the (...)
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  • Similarity and structured representation in human and nonhuman apes.Carl J. Hodgetts, James O. E. Close & Ulrike Hahn - 2023 - Cognition 236 (C):105419.
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  • Determining transformation distance in similarity: Considerations for assessing representational changes a priori.Lisa R. Grimm, Jonathan R. Rein & Arthur B. Markman - 2012 - Thinking and Reasoning 18 (1):59 - 80.
    The representational distortion (RD) approach to similarity (e.g., Hahn, Chater, & Richardson, 2003) proposes that similarity is computed using the transformation distance between two entities. We argue that researchers who adopt this approach need to be concerned with how representational transformations can be determined a priori. We discuss several roadblocks to using this approach. Specifically we demonstrate the difficulties inherent in determining what transformations are psychologically salient and the importance of considering the directionality of transformations.
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  • Graded similarity in free categorization.John P. Clapper - 2019 - Cognition 190 (C):1-19.
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  • Alignability-based free categorization.John P. Clapper - 2017 - Cognition 162:87-102.
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  • Two analogy strategies: the cases of mind metaphors and introspection.Eugen Fischer - 2018 - Connection Science 30 (2):211-243.
    Analogical reasoning is often employed in problem-solving and metaphor interpretation. This paper submits that, as a default, analogical reasoning addressing these different tasks employs different mapping strategies: In problem-solving, it employs analogy-maximising strategies (like structure mapping, Gentner & Markman 1997); in metaphor interpretation, analogy-minimising strategies (like ATT-Meta, Barnden 2015). The two strategies interact in analogical reasoning with conceptual metaphors. This interaction leads to predictable fallacies. The paper supports these hypotheses through case-studies on ‘mind’-metaphors from ordinary discourse, and abstract problem-solving in (...)
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