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  1. Recursive Numeral Systems Optimize the Trade‐off Between Lexicon Size and Average Morphosyntactic Complexity.Milica Denić & Jakub Szymanik - 2024 - Cognitive Science 48 (3):e13424.
    Human languages vary in terms of which meanings they lexicalize, but this variation is constrained. It has been argued that languages are under two competing pressures: the pressure to be simple (e.g., to have a small lexicon) and to allow for informative (i.e., precise) communication, and that which meanings get lexicalized may be explained by languages finding a good way to trade off between these two pressures. However, in certain semantic domains, languages can reach very high levels of informativeness even (...)
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  • Learning the generative principles of a symbol system from limited examples.Lei Yuan, Violet Xiang, David Crandall & Linda Smith - 2020 - Cognition 200 (C):104243.
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  • Preschoolers and multi-digit numbers: A path to mathematics through the symbols themselves.Lei Yuan, Richard W. Prather, Kelly S. Mix & Linda B. Smith - 2019 - Cognition 189:89-104.
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  • Four- to six-year-olds’ ratio reasoning-from 2D to 3D quantities.Yingying Yang & Wei He - 2020 - Thinking and Reasoning 27 (2):212-238.
    Recent research has suggested that young children may have primitive knowledge of ratio and proportions. However, it is unclear how precisely young children represent ratio magnitudes and how well...
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  • Symbolic and nonsymbolic pathways of number processing.Tom Verguts & Wim Fias - 2008 - Philosophical Psychology 21 (4):539 – 554.
    Recent years have witnessed an enormous increase in behavioral and neuroimaging studies of numerical cognition. Particular interest has been devoted toward unraveling properties of the representational medium on which numbers are thought to be represented. We have argued that a correct inference concerning these properties requires distinguishing between different input modalities and different decision/output structures. To back up this claim, we have trained computational models with either symbolic or nonsymbolic input and with different task requirements, and showed that this allowed (...)
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  • Signaling in an Unknown World.Rafael Ventura - 2021 - Erkenntnis:1-21.
    This paper proposes a sender-receiver model to explain two large-scale patterns observed in natural languages: Zipf’s inverse power law relating the frequency of word use and word rank, and the negative correlation between the frequency of word use and rate of lexical change. Computer simulations show that the model recreates Zipf’s inverse power law and the negative correlation between signal frequency and rate of change, provided that agents balance the rates with which they invent new signals and forget old ones. (...)
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  • Signaling in an Unknown World.Rafael Ventura - 2023 - Erkenntnis 88 (3):885-905.
    This paper proposes a sender-receiver model to explain two large-scale patterns observed in natural languages: Zipf’s inverse power law relating the frequency of word use and word rank, and the negative correlation between the frequency of word use and rate of lexical change. Computer simulations show that the model recreates Zipf’s inverse power law and the negative correlation between signal frequency and rate of change, provided that agents balance the rates with which they invent new signals and forget old ones. (...)
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  • The mental representation of integers: An abstract-to-concrete shift in the understanding of mathematical concepts.Sashank Varma & Daniel L. Schwartz - 2011 - Cognition 121 (3):363-385.
  • Spatial-Numerical Associations Enhance the Short-Term Memorization of Digit Locations.Catherine Thevenot, Jasinta Dewi, Pamela B. Lavenex & Jeanne Bagnoud - 2018 - Frontiers in Psychology 9.
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  • Spatial complexity of character-based writing systems and arithmetic in primary school: a longitudinal study.Maja Rodic, Tatiana Tikhomirova, Tatiana Kolienko, Sergey Malykh, Olga Bogdanova, Dina Y. Zueva, Elena I. Gynku, Sirui Wan, Xinlin Zhou & Yulia Kovas - 2015 - Frontiers in Psychology 6.
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  • Children's Understanding of the Natural Numbers’ Structure.Jennifer Asmuth, Emily M. Morson & Lance J. Rips - 2018 - Cognitive Science 42 (6):1945-1973.
    When young children attempt to locate numbers along a number line, they show logarithmic (or other compressive) placement. For example, the distance between “5” and “10” is larger than the distance between “75” and “80.” This has often been explained by assuming that children have a logarithmically scaled mental representation of number (e.g., Berteletti, Lucangeli, Piazza, Dehaene, & Zorzi, 2010; Siegler & Opfer, 2003). However, several investigators have questioned this argument (e.g., Barth & Paladino, 2011; Cantlon, Cordes, Libertus, & Brannon, (...)
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  • The language user as an arithmetician.Thijs Pollmann & Carel Jansen - 1996 - Cognition 59 (2):219-237.
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  • The Neural Signatures of Processing Semantic End Values in Automatic Number Comparisons.Michal Pinhas, Chananel Buchman, Dmitri Lavro, David Mesika, Joseph Tzelgov & Andrea Berger - 2015 - Frontiers in Human Neuroscience 9.
  • Bootstrapping in a language of thought: A formal model of numerical concept learning.Steven T. Piantadosi, Joshua B. Tenenbaum & Noah D. Goodman - 2012 - Cognition 123 (2):199-217.
  • How the Abstract Becomes Concrete: Irrational Numbers Are Understood Relative to Natural Numbers and Perfect Squares.Purav Patel & Sashank Varma - 2018 - Cognitive Science 42 (5):1642-1676.
  • Influences of Cognitive Control on Numerical Cognition—Adaptation by Binding for Implicit Learning.Korbinian Moeller, Elise Klein & Hans-Christoph Nuerk - 2013 - Topics in Cognitive Science 5 (2):335-353.
    Recently, an associative learning account of cognitive control has been suggested (Verguts & Notebaert, 2009). In this so-called adaptation by binding theory, Hebbian learning of stimulus–stimulus and stimulus–response associations is assumed to drive the adaptation of human behavior. In this study, we evaluated the validity of the adaptation-by-binding account for the case of implicit learning of regularities within a stimulus set (i.e., the frequency of specific unit digit combinations in a two-digit number magnitude comparison task) and their association with a (...)
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  • Editorial.Jacques Mehler - 1994 - Cognition 50 (1-3):1-6.
  • Twenty-five years in: Landmark empirical findings in the cognitive science of religion.Robert N. McCauley - 2018 - Filosofia Unisinos 19 (3).
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  • How to Learn the Natural Numbers: Inductive Inference and the Acquisition of Number Concepts.Eric Margolis & Stephen Laurence - 2008 - Cognition 106 (2):924-939.
    Theories of number concepts often suppose that the natural numbers are acquired as children learn to count and as they draw an induction based on their interpretation of the first few count words. In a bold critique of this general approach, Rips, Asmuth, Bloomfield [Rips, L., Asmuth, J. & Bloomfield, A.. Giving the boot to the bootstrap: How not to learn the natural numbers. Cognition, 101, B51–B60.] argue that such an inductive inference is consistent with a representational system that clearly (...)
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  • Individual differences in nonverbal number skills predict math anxiety.Marcus Lindskog, Anders Winman & Leo Poom - 2017 - Cognition 159 (C):156-162.
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  • Symbolic Number Comparison Is Not Processed by the Analog Number System: Different Symbolic and Non-symbolic Numerical Distance and Size Effects.Attila Krajcsi, Gábor Lengyel & Petia Kojouharova - 2018 - Frontiers in Psychology 9.
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  • Symbolic Numerical Distance Effect Does Not Reflect the Difference between Numbers.Attila Krajcsi & Petia Kojouharova - 2017 - Frontiers in Psychology 8.
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  • Limited transfer of subliminal response priming to novel stimulus orientations and identities.Katrin Elsner, Wilfried Kunde & Andrea Kiesel - 2008 - Consciousness and Cognition 17 (3):657-671.
    Recently, priming effects of unconscious stimuli that were never presented as targets have been taken as evidence for the processing of the stimuli’s semantic categories. The present study explored the necessary conditions for a transfer of priming to novel primes. Stimuli were digits and letters which were presented in various viewer-related orientations . The transfer of priming to novel stimulus orientations and identities was remarkably limited: in Experiment 1, in which all conscious targets stood upright, no transfer to unconscious primes (...)
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  • Number concepts for the concept empiricist.Max Jones - 2016 - Philosophical Psychology 29 (3):334-348.
    Dove and Machery both argue that recent findings about the nature of numerical representation present problems for Concept Empiricism. I shall argue that, whilst this evidence does challenge certain versions of CE, such as Prinz, it needn’t be seen as problematic to the general CE approach. Recent research can arguably be seen to support a CE account of number concepts. Neurological and behavioral evidence suggests that systems involved in the perception of numerical properties are also implicated in numerical cognition. Furthermore, (...)
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  • Computer Simulations of Developmental Change: The Contributions of Working Memory Capacity and Long‐Term Knowledge.Gary Jones, Fernand Gobet & Julian M. Pine - 2008 - Cognitive Science 32 (7):1148-1176.
    Increasing working memory (WM) capacity is often cited as a major influence on children's development and yet WM capacity is difficult to examine independently of long‐term knowledge. A computational model of children's nonword repetition (NWR) performance is presented that independently manipulates long‐term knowledge and WM capacity to determine the relative contributions of each in explaining the developmental data. The simulations show that (a) both mechanisms independently cause the same overall developmental changes in NWR performance, (b) increase in long‐term knowledge provides (...)
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  • Calibrating the mental number line.Véronique Izard & Stanislas Dehaene - 2008 - Cognition 106 (3):1221-1247.
    Human adults are thought to possess two dissociable systems to represent numbers: an approximate quantity system akin to a mental number line, and a verbal system capable of representing numbers exactly. Here, we study the interface between these two systems using an estimation task. Observers were asked to estimate the approximate numerosity of dot arrays. We show that, in the absence of calibration, estimates are largely inaccurate: responses increase monotonically with numerosity, but underestimate the actual numerosity. However, insertion of a (...)
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  • Sixty-four or four-and-sixty? The influence of language and working memory on children's number transcoding.Ineke Imbo, Charlotte Vanden Bulcke, Jolien De Brauwer & Wim Fias - 2014 - Frontiers in Psychology 5.
  • Numerosities and space; indeed a cognitive illusion! A reply to de Hevia and Spelke.Titia Gebuis & Wim Gevers - 2011 - Cognition 121 (2):248-252.
  • Preverbal and verbal counting and computation.C. R. Gallistel & Rochel Gelman - 1992 - Cognition 44 (1-2):43-74.
  • The mental number line: exact and approximate.Wim Fias & Tom Verguts - 2004 - Trends in Cognitive Sciences 8 (10):447-448.
    Comments on an article by Feigenson et. al.(see record 2004-18473-007). Reviewing behavioral and neural data in children, humans and animals, Feigenson and colleagues distinguish two core systems for number representation. One system represents number in an exact way but has a fixed upper limit; the other system has no size limit but represents number only approximately. Both systems are claimed to have a phylogenetic origin and to constitute the basis for ontogenetic development. As such, each system's representational principles are reflected (...)
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  • How do we convert a number into a finger trajectory?Dror Dotan & Stanislas Dehaene - 2013 - Cognition 129 (3):512-529.
  • The influence of math anxiety on symbolic and non-symbolic magnitude processing.Julia F. Dietrich, Stefan Huber, Korbinian Moeller & Elise Klein - 2015 - Frontiers in Psychology 6.
  • Varieties of numerical abilities.Stanislas Dehaene - 1992 - Cognition 44 (1-2):1-42.
  • Author's response: Is number sense a patchwork?Stanislas Dehaene - 2001 - Mind and Language 16 (1):89–100.
    ‘Number sense’ is a short‐hand for our ability to quickly understand, approximate, and manipulate numerical quantities. My hypothesis is that number sense rests on cerebral circuits that have evolved specifically for the purpose of representing basic arithmetic knowledge. Four lines of evidence suggesting that number sense constitutes a domain‐specific, biologically‐determined ability are reviewed: the presence of evolutionary precursors of arithmetic in animals; the early emergence of arithmetic competence in infants independently of other abilities, including language; the existence of a homology (...)
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  • Processing of Ordinal Information in Math-Anxious Individuals.Àngels Colomé & Maria Isabel Núñez-Peña - 2021 - Frontiers in Psychology 12.
    This study aimed to investigate whether the ordinal judgments of high math-anxious and low math-anxious individuals differ. Two groups of 20 participants with extreme scores on the Shortened Mathematics Anxiety Rating Scale had to decide whether a triplet of numbers was presented in ascending order. Triplets could contain one-digit or two-digit numbers and be formed by consecutive numbers, numbers with a constant distance of two or three or numbers with variable distances between them. All these triplets were also presented unordered: (...)
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  • A colorful walk on the mental number line: Striving for the right direction.Roi Cohen Kadosh, Joseph Tzelgov & Avishai Henik - 2008 - Cognition 106 (1):564-567.
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  • Analyzing the misperception of exponential growth in graphs.Lorenzo Ciccione, Mathias Sablé-Meyer & Stanislas Dehaene - 2022 - Cognition 225 (C):105112.
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  • Fundamental units of numerosity estimation.Ramakrishna Chakravarthi, Andy Nordqvist, Marlene Poncet & Nika Adamian - 2023 - Cognition 239 (C):105565.
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  • Clustering leads to underestimation of numerosity, but crowding is not the cause.Ramakrishna Chakravarthi & Marco Bertamini - 2020 - Cognition 198 (C):104195.
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  • Do analog number representations underlie the meanings of young children’s verbal numerals?Susan Carey, Anna Shusterman, Paul Haward & Rebecca Distefano - 2017 - Cognition 168 (C):243-255.
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  • Architectures for numerical cognition.Jamie I. D. Campbell - 1994 - Cognition 53 (1):1-44.
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  • Counting in Tongan: The Traditional Number Systems and Their Cognitive Implications.Andrea Bender & Sieghard Beller - 2007 - Journal of Cognition and Culture 7 (3-4):213-239.
    Is the application of more than one number system in a particular culture necessarily an indication of not having abstracted a general concept of number? Does this mean that specific number systems for certain objects are cognitively deficient? The opposite is the case with the traditional number systems in Tongan, where a consistent decimal system is supplemented by diverging systems for certain objects, in which 20 seems to play a special role. Based on an analysis of their linguistic, historical and (...)
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  • ADAPT: A Developmental, Asemantic, and Procedural Model for Transcoding From Verbal to Arabic Numerals.Pierre Barrouillet, Valérie Camos, Pierre Perruchet & Xavier Seron - 2004 - Psychological Review 111 (2):368-394.
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  • Editorial.Jacques Mehler - 1997 - Cognition 63 (3):249-250.
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  • Mathematics anxiety and mental arithmetic performance: An exploratory investigation.Mark H. Ashcraft & Michael W. Faust - 1994 - Cognition and Emotion 8 (2):97-125.
  • Cognitive arithmetic: A review of data and theory. [REVIEW]Mark H. Ashcraft - 1992 - Cognition 44 (1-2):75-106.
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  • Refining the experimental lever.E. M. Hubbard & V. S. Ramachandran - 2003 - Journal of Consciousness Studies 10 (3):77-84.
  • Long-Term Semantic Memory Versus Contextual Memory in Unconscious Number Processing.S. Dehaene, A. G. Greenwald, R. L. Abrams & L. Naccache - 2003 - Journal of Experimental Psychology 29 (2):235-247.
    Subjects classified visible 2-digit numbers as larger or smaller than 55. Target numbers were preceded by masked 2-digit primes that were either congruent (same relation to 55) or incongruent. Experiments 1 and 2 showed prime congruency effects for stimuli never included in the set of classified visible targets, indicating subliminal priming based on long-term semantic memory. Experiments 2 and 3 went further to demonstrate paradoxical unconscious priming effects resulting from task context. For example, after repeated practice classifying 73 as larger (...)
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  • From scalar semantics to implicature : Children's interpretation of aspectuals.Anna Papafragou - unknown
    One of the tasks of language learning is the discovery of the intricate division of labour between the lexical-semantic content of an expression and the pragmatic inferences the expression can be used to convey. Here we investigate experimentally the development of the semantics– pragmatics interface, focusing on Greek-speaking five-year-olds’ interpretation of aspectual expressions such as arxizo (‘ start ’) and degree modifiers such as miso (‘ half ’) and mexri ti mesi (‘ halfway ’). Such expressions are known to give (...)
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