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John Clement [3]John J. Clement [2]
  1.  28
    Observed Methods for Generating Analogies in Scientific Problem Solving.John Clement - 1988 - Cognitive Science 12 (4):563-586.
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  2.  94
    The Role of Imagistic Simulation in Scientific Thought Experiments.John J. Clement - 2009 - Topics in Cognitive Science 1 (4):686-710.
    Interest in thought experiments (TEs) derives from the paradox: “How can findings that carry conviction result from a new experiment conducted entirely within the head?” Historical studies have established the importance of TEs in science but have proposed disparate hypotheses concerning the source of knowledge in TEs, ranging from empiricist to rationalist accounts. This article analyzes TEs in think‐aloud protocols of scientifically trained experts to examine more fine‐grained information about their use. Some TEs appear powerful enough to discredit an existing (...)
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    Electronic publishing and concentration of ownership: How they benefit the entire book trade (Cause for Debate – 5).John Clement - 2001 - Logos. Anales Del Seminario de Metafísica [Universidad Complutense de Madrid, España] 12 (3):145-147.
  4.  11
    Electronic publishing and concentration of ownership: How they benefit the entire book trade.John Clement - 2001 - Logos 12 (3):145-147.
  5.  21
    Reasoning Patterns in Galileo’s Analysis of Machines and in Expert Protocols: Roles for Analogy, Imagery, and Mental Simulation.John J. Clement - 2020 - Topoi 39 (4):973-985.
    Reasoning patterns found in Galileo’s treatise on machines, On Mechanics, are compared with patterns identified in case studies of scientifically trained experts thinking aloud, and many similarities are found. At one level the primary patterns identified are ordered analogy sequences and special diagrammatic techniques to support them. At a deeper level I develop constructs to describe patterns that can support embodied, imagistic, mental simulations as a central underlying process. Additionally, a larger hypothesized pattern of ‘progressive imagistic generalization’—Galileo’s development of a (...)
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