Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-26T03:58:43.360Z Has data issue: false hasContentIssue false
  • English
  • Français

Selecting the model that best fits the data

Published online by Cambridge University Press:  27 July 2017

Willemijn van Woerkom  and
Willem Zuidema
Willemijn van Woerkom
Affiliation:
Institute for Logic, Language and Computation, University of Amsterdam, 1090 GE Amsterdam, The Netherlandswillemijnvanwoerkom@gmail.comzuidema@uva.nlhttps://staff.fnwi.uva.nl/w.zuidema/
Willem Zuidema
Affiliation:
Institute for Logic, Language and Computation, University of Amsterdam, 1090 GE Amsterdam, The Netherlandswillemijnvanwoerkom@gmail.comzuidema@uva.nlhttps://staff.fnwi.uva.nl/w.zuidema/
Get access Rights & Permissions [Opens in a new window]

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
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e192
Check for updates
Copyright
Copyright © Cambridge University Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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 Unpublished research report, University of Amsterdam.Google Scholar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