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Chatham, Christopher H.; Yerys, Benjamin E.; Munakata, Yuko – Cognitive Development, 2012
Computational models are powerful tools--too powerful, according to some. We argue that the idea that models can "do anything" is wrong, and we describe how their failures have been informative. We present new work showing surprising diversity in the effects of feedback on children's task-switching, such that some children perseverate despite this…
Descriptors: Failure, Computation, Models, Neurology
Dauvier, Bruno; Chevalier, Nicolas; Blaye, Agnes – Cognitive Development, 2012
The present study illustrates the usefulness of finite mixture of generalized linear models (GLMs) to examine variability in cognitive strategies during childhood. More precisely, it addresses this variability in set-shifting situations where task-goal updating is endogenously driven. In a task-switching paradigm 5-6-year-olds had to switch…
Descriptors: Young Children, Cognitive Processes, Statistical Analysis, Models
Schirlin, Olivier; Houde, Olivier – Cognitive Development, 2007
Piagetian tasks have more to do with the child's ability to inhibit interference than they do with the ability to grasp their underlying logic. Here we used a chronometric paradigm with 11-year-olds, who succeed in Piaget's conservation-of-weight task, to test the role of cognitive inhibition in a priming version of this classical task. The…
Descriptors: Research Design, Inhibition, Cognitive Processes, Developmental Tasks

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