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  1. Children's understanding of counting.Karen Wynn - 1990 - Cognition 36 (2):155-193.
  • Six does not just mean a lot: preschoolers see number words as specific.B. Sarnecka - 2004 - Cognition 92 (3):329-352.
  • How counting represents number: What children must learn and when they learn it.Barbara W. Sarnecka & Susan Carey - 2008 - Cognition 108 (3):662-674.
  • From numerical concepts to concepts of number.Lance J. Rips, Amber Bloomfield & Jennifer Asmuth - 2008 - Behavioral and Brain Sciences 31 (6):623-642.
    Many experiments with infants suggest that they possess quantitative abilities, and many experimentalists believe that these abilities set the stage for later mathematics: natural numbers and arithmetic. However, the connection between these early and later skills is far from obvious. We evaluate two possible routes to mathematics and argue that neither is sufficient: (1) We first sketch what we think is the most likely model for infant abilities in this domain, and we examine proposals for extrapolating the natural number concept (...)
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  • Giving the boot to the bootstrap: How not to learn the natural numbers.Lance J. Rips, Jennifer Asmuth & Amber Bloomfield - 2006 - Cognition 101 (3):B51-B60.
  • Do children learn the integers by induction?Lance J. Rips, Jennifer Asmuth & Amber Bloomfield - 2008 - Cognition 106 (2):940-951.
  • Scalar implicatures: experiments at the semantics–pragmatics interface.A. Papafragou - 2003 - Cognition 86 (3):253-282.
  • 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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  • Preschool children master the logic of number word meanings.Jennifer S. Lipton & Elizabeth S. Spelke - 2006 - Cognition 98 (3):57-66.
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  • The generative basis of natural number concepts.Alan M. Leslie, Rochel Gelman & C. R. Gallistel - 2008 - Trends in Cognitive Sciences 12 (6):213-218.
    Number concepts must support arithmetic inference. Using this principle, it can be argued that the integer concept of exactly ONE is a necessary part of the psychological foundations of number, as is the notion of the exact equality - that is, perfect substitutability. The inability to support reasoning involving exact equality is a shortcoming in current theories about the development of numerical reasoning. A simple innate basis for the natural number concepts can be proposed that embodies the arithmetic principle, supports (...)
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  • Number-knower levels in young children: Insights from Bayesian modeling.Michael D. Lee & Barbara W. Sarnecka - 2011 - Cognition 120 (3):391-402.
  • A Model of Knower‐Level Behavior in Number Concept Development.Michael D. Lee & Barbara W. Sarnecka - 2010 - Cognitive Science 34 (1):51-67.
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  • One, two, three, four, nothing more: An investigation of the conceptual sources of the verbal counting principles.Mathieu Le Corre & Susan Carey - 2007 - Cognition 105 (2):395-438.
  • Radical concept nativism.Stephen Laurence & Eric Margolis - 2002 - Cognition 86 (1):25-55.
    Radical concept nativism is the thesis that virtually all lexical concepts are innate. Notoriously endorsed by Jerry Fodor (1975, 1981), radical concept nativism has had few supporters. However, it has proven difficult to say exactly what’s wrong with Fodor’s argument. We show that previous responses are inadequate on a number of grounds. Chief among these is that they typically do not achieve sufficient distance from Fodor’s dialectic, and, as a result, they do not illuminate the central question of how new (...)
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  • Learning a theory of causality.Noah D. Goodman, Tomer D. Ullman & Joshua B. Tenenbaum - 2011 - Psychological Review 118 (1):110-119.
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  • A Rational Analysis of Rule-Based Concept Learning.Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldman & Thomas L. Griffiths - 2008 - Cognitive Science 32 (1):108-154.
  • Questions for future research.Rochel Gelman & Brian Butterworth - 2005 - Trends in Cognitive Sciences 9 (1):6-10.
  • Preverbal and verbal counting and computation.C. R. Gallistel & Rochel Gelman - 1992 - Cognition 44 (1-2):43-74.
  • Commentary on Le Corre & Carey.C. R. Gallistel - 2007 - Cognition 105 (2):439-445.
  • Number as a cognitive technology: Evidence from Pirahã language and cognition.Michael C. Frank, Daniel L. Everett, Evelina Fedorenko & Edward Gibson - 2008 - Cognition 108 (3):819-824.
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  • Cross-linguistic regularities in the frequency of number words.S. Dehaene - 1992 - Cognition 43 (1):1-29.
  • Core systems of number.Stanislas Dehaene, Elizabeth Spelke & Lisa Feigenson - 2004 - Trends in Cognitive Sciences 8 (7):307-314.
  • An Unsolvable Problem of Elementary Number Theory.Alonzo Church - 1936 - Journal of Symbolic Logic 1 (2):73-74.
  • The Language of Thought.J. A. Fodor - 1978 - Critica 10 (28):140-143.
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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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  • What makes us Smart? Core knowledge and natural language.Elizabeth S. Spelke - 2003 - In Dedre Getner & Susan Goldin-Meadow (eds.), Language in Mind: Advances in the Study of Language and Thought. MIT Press. pp. 277--311.
  • The faculty of language: What is it, who has it, and how did it evolve?Hauser Marc, D. Chomsky, Noam Fitch & W. Tecumseh - 2002 - Science 298 (22):1569-1579.
    We argue that an understanding of the faculty of language requires substantial interdisciplinary cooperation. We suggest how current developments in linguistics can be profitably wedded to work in evolutionary biology, anthropology, psychology, and neuroscience. We submit that a distinction should be made between the faculty of language in the broad sense (FLB)and in the narrow sense (FLN). FLB includes a sensory-motor system, a conceptual-intentional system, and the computational mechanisms for recursion, providing the capacity to generate an infinite range of expressions (...)
     
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