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  1. Analogue Magnitude Representations: A Philosophical Introduction.Jacob Beck - 2015 - British Journal for the Philosophy of Science 66 (4):829-855.
    Empirical discussions of mental representation appeal to a wide variety of representational kinds. Some of these kinds, such as the sentential representations underlying language use and the pictorial representations of visual imagery, are thoroughly familiar to philosophers. Others have received almost no philosophical attention at all. Included in this latter category are analogue magnitude representations, which enable a wide range of organisms to primitively represent spatial, temporal, numerical, and related magnitudes. This article aims to introduce analogue magnitude representations to a (...)
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  • Bias and noise in proportion estimation: A mixture psychophysical model.Camilo Gouet, Wei Jin, Daniel Q. Naiman, Marcela Peña & Justin Halberda - 2021 - Cognition 213 (C):104805.
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  • The physical basis of memory.C. R. Gallistel - 2021 - Cognition 213 (C):104533.
    Neuroscientists are searching for the engram within the conceptual framework established by John Locke's theory of mind. This framework was elaborated before the development of information theory, before the development of information processing machines and the science of computation, before the discovery that molecules carry hereditary information, before the discovery of the codon code and the molecular machinery for editing the messages written in this code and translating it into transcription factors that mark abstract features of organic structure such as (...)
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  • 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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  • Apes are intuitive statisticians.Hannes Rakoczy, Annette Clüver, Liane Saucke, Nicole Stoffregen, Alice Gräbener, Judith Migura & Josep Call - 2014 - Cognition 131 (1):60-68.
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  • Non-symbolic halving in an amazonian indigene group.Koleen McCrink, Elizabeth Spelke, Stanislas Dehaene & Pierre Pica - 2013 - Developmental Science 16 (3):451-462.
    Much research supports the existence of an Approximate Number System (ANS) that is recruited by infants, children, adults, and non-human animals to generate coarse, non-symbolic representations of number. This system supports simple arithmetic operations such as addition, subtraction, and ordering of amounts. The current study tests whether an intuition of a more complex calculation, division, exists in an indigene group in the Amazon, the Mundurucu, whose language includes no words for large numbers. Mundurucu children were presented with a video event (...)
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  • A human-like artificial intelligence for mathematics.Santiago Alonso-Diaz - 2024 - Mind and Society 23 (1):79-97.
    This paper provides a brief overview of findings in mathematical cognition and how a human-like AI in mathematics may look like. Then, it provides six reasons in favor of a human-like AI for mathematics: (1) human cognition, with all its limits, creates mathematics; (2) human mathematics is insightful, not merely deductive steps; (3) human cognition detects structure in the real world; (4) human cognition can tackle and detect complex problems; (5) human cognition is creative; (6) human cognition considers ethical issues. (...)
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  • The Relational SNARC: Spatial Representation of Nonsymbolic Ratios.Rui Meng, Percival G. Matthews & Elizabeth Y. Toomarian - 2019 - Cognitive Science 43 (8):e12778.
    Recent research in numerical cognition has begun to systematically detail the ability of humans and nonhuman animals to perceive the magnitudes of nonsymbolic ratios. These relationally defined analogs to rational numbers offer new potential insights into the nature of human numerical processing. However, research into their similarities with and connections to symbolic numbers remains in its infancy. The current research aims to further explore these similarities by investigating whether the magnitudes of nonsymbolic ratios are associated with space just as symbolic (...)
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  • Task Constraints Affect Mapping From Approximate Number System Estimates to Symbolic Numbers.Dana L. Chesney & Percival G. Matthews - 2018 - Frontiers in Psychology 9.
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  • Ratio-based perceptual foundations for rational numbers, and perhaps whole numbers, too?Edward M. Hubbard & Percival G. Matthews - 2021 - Behavioral and Brain Sciences 44.
    Clarke and Beck suggest that the ratio processing system may be a component of the approximate number system, which they suggest represents rational numbers. We argue that available evidence is inconsistent with their account and advocate for a two-systems view. This implies that there may be many access points for numerical cognition – and that privileging the ANS may be a mistake.
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  • Fractions We Cannot Ignore: The Nonsymbolic Ratio Congruity Effect.Percival G. Matthews & Mark R. Lewis - 2017 - Cognitive Science 41 (6):1656-1674.
    Although many researchers theorize that primitive numerosity processing abilities may lay the foundation for whole number concepts, other classes of numbers, like fractions, are sometimes assumed to be inaccessible to primitive architectures. This research presents evidence that the automatic processing of nonsymbolic magnitudes affects processing of symbolic fractions. Participants completed modified Stroop tasks in which they selected the larger of two symbolic fractions while the ratios of the fonts in which the fractions were printed and the overall sizes of the (...)
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  • Questions About Quantifiers: Symbolic and Nonsymbolic Quantity Processing by the Brain.Jakub Szymanik, Arnold Kochari & Heming Strømholt Bremnes - 2023 - Cognitive Science 47 (10):e13346.
    One approach to understanding how the human cognitive system stores and operates with quantifiers such as “some,” “many,” and “all” is to investigate their interaction with the cognitive mechanisms for estimating and comparing quantities from perceptual input (i.e., nonsymbolic quantities). While a potential link between quantifier processing and nonsymbolic quantity processing has been considered in the past, it has never been discussed extensively. Simultaneously, there is a long line of research within the field of numerical cognition on the relationship between (...)
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  • From continuous magnitudes to symbolic numbers: The centrality of ratio.Pooja G. Sidney, Clarissa A. Thompson, Percival G. Matthews & Edward M. Hubbard - 2017 - Behavioral and Brain Sciences 40.
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  • Real models: The limits of behavioural evidence for understanding the ANS.Denitza Dramkin & Darko Odic - 2021 - Behavioral and Brain Sciences 44.
    Clarke and Beck use behavioural evidence to argue that approximate ratio computations are sufficient for claiming that the approximate number system represents the rationals, and the ANS does not represent the reals. We argue that pure behaviour is a poor litmus test for this problem, and that we should trust the psychophysical models that place ANS representations within the reals.
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  • No calculation necessary: Accessing magnitude through decimals and fractions.John V. Binzak & Edward M. Hubbard - 2020 - Cognition 199 (C):104219.
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  • Fractions: the new frontier for theories of numerical development.Robert S. Siegler, Lisa K. Fazio, Drew H. Bailey & Xinlin Zhou - 2013 - Trends in Cognitive Sciences 17 (1):13-19.
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  • Spontaneous, modality-general abstraction of a ratio scale.Cory D. Bonn & Jessica F. Cantlon - 2017 - Cognition 169 (C):36-45.
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  • Training nonsymbolic proportional reasoning in children and its effects on their symbolic math abilities.Camilo Gouet, Salvador Carvajal, Justin Halberda & Marcela Peña - 2020 - Cognition 197 (C):104154.
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  • The role of ANS acuity and numeracy for the calibration and the coherence of subjective probability judgments.Anders Winman, Peter Juslin, Marcus Lindskog, Håkan Nilsson & Neda Kerimi - 2014 - Frontiers in Psychology 5:97227.
    The purpose of the study was to investigate how numeracy and acuity of the approximate number system (ANS) relate to the calibration and coherence of probability judgments. Based on the literature on number cognition, a first hypothesis was that those with lower numeracy would maintain a less linear use of the probability scale, contributing to overconfidence and nonlinear calibration curves. A second hypothesis was that also poorer acuity of the ANS would be associated with overconfidence and non-linearity. A third hypothesis, (...)
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  • Relational Priming Based on a Multiplicative Schema for Whole Numbers and Fractions.Melissa DeWolf, Ji Y. Son, Miriam Bassok & Keith J. Holyoak - 2017 - Cognitive Science 41 (8):2053-2088.
    Why might it be beneficial for adults to process fractions componentially? Recent research has shown that college-educated adults can capitalize on the bipartite structure of the fraction notation, performing more successfully with fractions than with decimals in relational tasks, notably analogical reasoning. This study examined patterns of relational priming for problems with fractions in a task that required arithmetic computations. College students were asked to judge whether or not multiplication equations involving fractions were correct. Some equations served as structurally inverse (...)
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  • Numerical Proportion Representation: A Neurocomputational Account.Qi Chen & Tom Verguts - 2017 - Frontiers in Human Neuroscience 11.
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