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Selecting the model that best fits the data

Published online by Cambridge University Press:  27 July 2017

Willemijn van Woerkom
Affiliation:
Institute for Logic, Language and Computation, University of Amsterdam, 1090 GE Amsterdam, The [email protected]@uva.nlhttps://staff.fnwi.uva.nl/w.zuidema/
Willem Zuidema
Affiliation:
Institute for Logic, Language and Computation, University of Amsterdam, 1090 GE Amsterdam, The [email protected]@uva.nlhttps://staff.fnwi.uva.nl/w.zuidema/

Abstract

Leibovich et al. argue that that none of the experiments they review really establishes that human adults, infants, or nonhuman animals are sensitive to numerosity independent of a range of continuous quantities. We do not dispute their claim that the empirical record is inconclusive but argue that model-based data analysis does offer a way to make progress.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2017 

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References

Borensztajn, G., Zuidema, W. & Bod, R. (2009) Children's grammars grow more abstract with age—Evidence from an automatic procedure for identifying the productive units of language. Topics in Cognitive Science 1:175–88.Google Scholar
Stoianov, I. & Zorzi, M. (2012) Emergence of a “visual number sense” in hierarchical generative models. Nature Neuroscience 15:194–96. doi: 10.1038/nn.2996.Google Scholar
van Woerkom, W. (2016) Modelling the visual number sense using a deep generative neural network. Unpublished research report, University of Amsterdam.Google Scholar
Westermann, G. (2000) A constructivist dual-representation model of verb inflection. In: Proceedings of the 22nd Annual Conference of the Cognitive Science Society, ed. Gleitman, L. & Joshi, A., pp. 977–82. Erlbaum.Google Scholar
Zuidema, W. &, and Bart de Boer, B. (2014) Modeling in the language sciences. In: Research methods in linguistics, ed. Podesva, R. & Sharma, D., pp. 422–39. Cambridge University Press.Google Scholar