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Löhr, Guido; Michel, Christian – Cognitive Science, 2022
We propose a cognitive-psychological model of linguistic intuitions about copredication statements. In copredication statements, like "The book is heavy and informative," the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth-conditional semantics. In this paper, we…
Descriptors: Cognitive Processes, Intuition, Decision Making, Ethics
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Candace Walkington; Mitchell J. Nathan; Min Wang; Kelsey Schenck – Cognitive Science, 2022
Theories of grounded and embodied cognition offer a range of accounts of how reasoning and body-based processes are related to each other. To advance theories of grounded and embodied cognition, we explore the "cognitive relevance" of particular body states to associated math concepts. We test competing models of action-cognition…
Descriptors: Thinking Skills, Mathematics Skills, Cognitive Processes, Models
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Lake, Brenden M.; Lawrence, Neil D.; Tenenbaum, Joshua B. – Cognitive Science, 2018
Both scientists and children make important structural discoveries, yet their computational underpinnings are not well understood. Structure discovery has previously been formalized as probabilistic inference about the right structural form--where form could be a tree, ring, chain, grid, etc. (Kemp & Tenenbaum, 2008). Although this approach…
Descriptors: Discovery Learning, Intuition, Bias, Computation
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Bonnefon, Jean-Francois – Cognitive Science, 2004
Johnson-Laird and coworkers' Mental Model theory of propositional reasoning is shown to be somewhere in between what logicians have defined as "credulous" and "skeptical" with respect to the conclusions it draws on default reasoning problems. It is then argued that in situations where skeptical reasoning has been shown to lead to problematic…
Descriptors: Models, Logical Thinking, Pragmatics, Prediction
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Ling, Charles X.; Marinov, Marin – Cognitive Science, 1994
Challenges Smolensky's theory that human intuitive/nonconscious cognitive processes can only be accurately explained in terms of subsymbolic computations in artificial neural networks. Symbolic learning models of two cognitive tasks involving nonconscious acquisition of information are presented: learning production rules and artificial finite…
Descriptors: Grammar, Intuition, Learning Processes, Mathematical Formulas