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All things considered: Dynamic Field Theory captures effect of categories on children’s word learning

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

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All things considered: Dynamic Field Theory captures effect of categories on children’s word learning. / Twomey, Katherine; Horst, Jessica.
2011.

Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

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@conference{e10e0d364839492cac7ae06b32ab1191,
title = "All things considered: Dynamic Field Theory captures effect of categories on children{\textquoteright}s word learning",
abstract = "Recent research demonstrates that both real-time variability in perceptual input and task demands influence young children{\textquoteright}s word learning and categorisation. The current study extends these findings by testing both children and a dynamic field theory (DFT) computational model in a category labelling task. Specifically, children and the model were introduced to multiple category members that were either moderately or highly variable. Both children and the model were better able to learn category labels when the individual category members were moderately variable. Overall, these findings have implications for both our understanding of children{\textquoteright}s categorisation and the use of computational models to investigate cognition more generally.",
keywords = "Dynamic Field Theory, fast mappin, word learning, categorisation, comptutational modelling",
author = "Katherine Twomey and Jessica Horst",
year = "2011",
language = "English",

}

RIS

TY - CONF

T1 - All things considered

T2 - Dynamic Field Theory captures effect of categories on children’s word learning

AU - Twomey, Katherine

AU - Horst, Jessica

PY - 2011

Y1 - 2011

N2 - Recent research demonstrates that both real-time variability in perceptual input and task demands influence young children’s word learning and categorisation. The current study extends these findings by testing both children and a dynamic field theory (DFT) computational model in a category labelling task. Specifically, children and the model were introduced to multiple category members that were either moderately or highly variable. Both children and the model were better able to learn category labels when the individual category members were moderately variable. Overall, these findings have implications for both our understanding of children’s categorisation and the use of computational models to investigate cognition more generally.

AB - Recent research demonstrates that both real-time variability in perceptual input and task demands influence young children’s word learning and categorisation. The current study extends these findings by testing both children and a dynamic field theory (DFT) computational model in a category labelling task. Specifically, children and the model were introduced to multiple category members that were either moderately or highly variable. Both children and the model were better able to learn category labels when the individual category members were moderately variable. Overall, these findings have implications for both our understanding of children’s categorisation and the use of computational models to investigate cognition more generally.

KW - Dynamic Field Theory

KW - fast mappin

KW - word learning

KW - categorisation

KW - comptutational modelling

M3 - Conference paper

ER -