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Perfors, Amy; Tenenbaum, Joshua B.; Griffiths, Thomas L.; Xu, Fei – Cognition, 2011
We present an introduction to Bayesian inference as it is used in probabilistic models of cognitive development. Our goal is to provide an intuitive and accessible guide to the "what", the "how", and the "why" of the Bayesian approach: what sorts of problems and data the framework is most relevant for, and how and why it may be useful for…
Descriptors: Bayesian Statistics, Cognitive Psychology, Inferences, Cognitive Development
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Feeney, Aidan; Wilburn, Catherine – Cognition, 2008
Although Sloutsky agrees with our interpretation of our data, he argues that the totality of the evidence supports his claim that children make inductive generalisations on the basis of similarity. Here we take issue with his characterisation of the alternative hypotheses in his informal analysis of the data, and suggest that a thorough Bayesian…
Descriptors: Bayesian Statistics, Logical Thinking, Child Development, Children
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Regier, Terry; Gahl, Susanne – Cognition, 2004
Syntactic knowledge is widely held to be partially innate, rather than learned. In a classic example, it is sometimes argued that children know the proper use of anaphoric "one," although that knowledge could not have been learned from experience. Lidz et al. [Lidz, J., Waxman, S., & Freedman, J. (2003). What infants know about syntax but couldn't…
Descriptors: Learning Processes, Syntax, Language Acquisition, Cognitive Development
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Brannon, Elizabeth M.; Abbott, Sara; Lutz, Donna J. – Cognition, 2004
This brief report attempts to resolve the claim that infants preferentially attend to continuous variables over number [e.g. Psychol. Sci. 10 (1999) 408; Cognit. Psychol.44 (2002) 33] with the finding that when continuous variables are controlled, infants as young as 6-months of age discriminate large numerical values [e.g. Psychol. Sci. 14 (2003)…
Descriptors: Number Concepts, Numbers, Infants, Discrimination Learning