6 found
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  1.  53
    Beyond the number domain.Jessica F. Cantlon, Michael L. Platt & Elizabeth M. Brannon - 2009 - Trends in Cognitive Sciences 13 (2):83-91.
  2.  25
    Spontaneous, modality-general abstraction of a ratio scale.Cory D. Bonn & Jessica F. Cantlon - 2017 - Cognition 169 (C):36-45.
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  3.  9
    Cognitive Mechanisms Underlying Recursive Pattern Processing in Human Adults.Abhishek M. Dedhe, Steven T. Piantadosi & Jessica F. Cantlon - 2023 - Cognitive Science 47 (4):e13273.
    The capacity to generate recursive sequences is a marker of rich, algorithmic cognition, and perhaps unique to humans. Yet, the precise processes driving recursive sequence generation remain mysterious. We investigated three potential cognitive mechanisms underlying recursive pattern processing: hierarchical reasoning, ordinal reasoning, and associative chaining. We developed a Bayesian mixture model to quantify the extent to which these three cognitive mechanisms contribute to adult humans’ performance in a sequence generation task. We further tested whether recursive rule discovery depends upon relational (...)
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  4.  26
    Origins of Hierarchical Logical Reasoning.Abhishek M. Dedhe, Hayley Clatterbuck, Steven T. Piantadosi & Jessica F. Cantlon - 2023 - Cognitive Science 47 (2):13250.
    Hierarchical cognitive mechanisms underlie sophisticated behaviors, including language, music, mathematics, tool-use, and theory of mind. The origins of hierarchical logical reasoning have long been, and continue to be, an important puzzle for cognitive science. Prior approaches to hierarchical logical reasoning have often failed to distinguish between observable hierarchical behavior and unobservable hierarchical cognitive mechanisms. Furthermore, past research has been largely methodologically restricted to passive recognition tasks as compared to active generation tasks that are stronger tests of hierarchical rules. We argue (...)
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  5.  17
    Confidence judgments during ratio comparisons reveal a Bayesian bias.Santiago Alonso-Diaz & Jessica F. Cantlon - 2018 - Cognition 177 (C):98-106.
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  6.  34
    Numerical abstraction: It ain't broke.Jessica F. Cantlon, Sara Cordes, Melissa E. Libertus & Elizabeth M. Brannon - 2009 - Behavioral and Brain Sciences 32 (3-4):331-332.
    The dual-code proposal of number representation put forward by Cohen Kadosh & Walsh (CK&W) accounts for only a fraction of the many modes of numerical abstraction. Contrary to their proposal, robust data from human infants and nonhuman animals indicate that abstract numerical representations are psychologically primitive. Additionally, much of the behavioral and neural data cited to support CK&W's proposal is, in fact, neutral on the issue of numerical abstraction.
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