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  1. Core knowledge.Elizabeth S. Spelke - 2000 - American Psychologist 55 (11):1233-1243.
    Complex cognitive skills such as reading and calculation and complex cognitive achievements such as formal science and mathematics may depend on a set of building block systems that emerge early in human ontogeny and phylogeny. These core knowledge systems show characteristic limits of domain and task specificity: Each serves to represent a particular class of entities for a particular set of purposes. By combining representations from these systems, however human cognition may achieve extraordinary flexibility. Studies of cognition in human infants (...)
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  • Six does not just mean a lot: preschoolers see number words as specific.B. Sarnecka - 2004 - Cognition 92 (3):329-352.
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  • Evidence Against Empiricist Accounts of the Origins of Numerical Knowledge.Karen Wynn - 1992 - Mind and Language 7 (4):315-332.
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  • Questions for future research.Rochel Gelman & Brian Butterworth - 2005 - Trends in Cognitive Sciences 9 (1):6-10.
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  • Preverbal and verbal counting and computation.C. R. Gallistel & Rochel Gelman - 1992 - Cognition 44 (1-2):43-74.
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  • Cognitive Foundations of Arithmetic: Evolution and Ontogenisis.Susan Carey - 2002 - Mind and Language 16 (1):37-55.
    Dehaene (this volume) articulates a naturalistic approach to the cognitive foundations of mathematics. Further, he argues that the ‘number line’ (analog magnitude) system of representation is the evolutionary and ontogenetic foundation of numerical concepts. Here I endorse Dehaene’s naturalistic stance and also his characterization of analog magnitude number representations. Although analog magnitude representations are part of the evolutionary foundations of numerical concepts, I argue that they are unlikely to be part of the ontogenetic foundations of the capacity to represent natural (...)
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  • Cognitive Foundations of Arithmetic: Evolution and Ontogenisis.Susan Carey - 2002 - Mind and Language 16 (1):37-55.
    Dehaene (this volume) articulates a naturalistic approach to the cognitive foundations of mathematics. Further, he argues that the ‘number line’ (analog magnitude) system of representation is the evolutionary and ontogenetic foundation of numerical concepts. Here I endorse Dehaene’s naturalistic stance and also his characterization of analog magnitude number representations. Although analog magnitude representations are part of the evolutionary foundations of numerical concepts, I argue that they are unlikely to be part of the ontogenetic foundations of the capacity to represent natural (...)
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  • Generativity within language and other cognitive domains.Paul Bloom - 1994 - Cognition 51 (2):177-189.
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  • Language acquisition.Cynthia Fisher & Lila R. Gleitman - 2002 - In J. Wixted & H. Pashler (eds.), Stevens' Handbook of Experimental Psychology. Wiley.
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  • Exact and Approximate Arithmetic in an Amazonian Indigene Group.Pierre Pica, Cathy Lemer, Véronique Izard & Stanislas Dehaene - 2004 - Science 306 (5695):499-503.
    Is calculation possible without language? Or is the human ability for arithmetic dependent on the language faculty? To clarify the relation between language and arithmetic, we studied numerical cognition in speakers of Mundurukú, an Amazonian language with a very small lexicon of number words. Although the Mundurukú lack words for numbers beyond 5, they are able to compare and add large approximate numbers that are far beyond their naming range. However, they fail in exact arithmetic with numbers larger than 4 (...)
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