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Making numbers out of magnitudes
Published online by Cambridge University Press: 11 December 2008
Abstract
We argue that number principles may be learnable instead of innate, by suggesting that children acquire probabilistically true number concepts rather than algorithms. We also suggest that non-propositional representational formats (e.g., mental models) may implicitly provide information that supports the induction of numerical principles. Given probabilistically true number concepts, the problem of the acquisition of mathematical principles is eliminated.
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- Copyright © Cambridge University Press 2008
References
Church, R. M. & Meck, W. H. (1984) The numerical attribute of stimuli. In: Animal cognition, ed. Roitblat, H. L., Bever, T. G. & Terrace, H. J.. Erlbaum.Google Scholar
Dehaene, S. & Changeux, J. P. (1993) Development of elementary numerical abilities: A neuronal model. Journal of Cognitive Neuroscience 5:390–407.CrossRefGoogle ScholarPubMed
Emmerton, J., Lohmann, A. & Niemann, J. (1997) Pigeons' serial ordering of numerosity with visual arrays. Animal Learning and Behavior 25(2):234–44.CrossRefGoogle Scholar
Gold, E. (1967) Language identification in the limit. Information and Control 10:447–74.CrossRefGoogle Scholar
Grossberg, S. & Repin, D. (2003) A neural model of how the brain represents and compares multi-digit numbers: Spatial and categorical processes. Neural Networks 16:1107–40.CrossRefGoogle ScholarPubMed
Johnson-Laird, P. N. (1983) Mental models: Towards a cognitive science of language, inference, and consciousness. Harvard University Press/Cambridge University Press.Google Scholar
Kosslyn, S. M., Thompson, W. L. & Ganis, G. (2006) The case for mental imagery. Oxford University Press.CrossRefGoogle Scholar
Mix, K. S. & Sandhofer, C. M. (2007) Do we need a number sense? In: Integrating the mind, ed. Roberts, M. J., pp. 293–326. Psychology Press.Google Scholar
Morris, B. J. & Schunn, C. (2005) Rethinking logical reasoning skills from a strategy perspective. In: Methods of thought: Individual differences in reasoning strategies, ed. Roberts, M. J. & Newton, E.. Psychology Press.Google Scholar
Rips, L. J. (1994) The psychology of proof: Deductive reasoning in human thinking. MIT Press.CrossRefGoogle Scholar
Shafir, S., Wiegmann, D. D., Smith, B. H. & Real, L. A. (1999) Risk-sensitive foraging: Choice behavior of honeybees in response to variability in volume of reward. Animal Behavior 57:1055–61.CrossRefGoogle ScholarPubMed
Tomasello, M. (2003) Constructing a language: A usage-based theory of language acquisition. Harvard University Press.Google Scholar
Waddington, K. D. & Gottlieb, N. (1990) Actual vs. perceived profitability: A study of floral choice of honeybees. Journal of Insect Behavior 3:429–41.CrossRefGoogle Scholar