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Schlesinger, Matthew; McMurray, Bob – Cognitive Development, 2012
Does modeling matter? We address this question by providing a broad survey of the computational models of cognitive development that have been proposed and studied over the last three decades. We begin by noting the advantages and limitations of computational models. We then describe four key dimensions across which models of development can be…
Descriptors: Computation, Models, Cognitive Development, Taxonomy
Ullman, Tomer D.; Goodman, Noah D.; Tenenbaum, Joshua B. – Cognitive Development, 2012
We present an algorithmic model for the development of children's intuitive theories within a hierarchical Bayesian framework, where theories are described as sets of logical laws generated by a probabilistic context-free grammar. We contrast our approach with connectionist and other emergentist approaches to modeling cognitive development. While…
Descriptors: Children, Learning, Child Development, Intuition
Spencer, John P.; Austin, Andrew; Schutte, Anne R. – Cognitive Development, 2012
We examine the contributions of dynamic systems theory to the field of cognitive development, focusing on modeling using dynamic neural fields. After introducing central concepts of dynamic field theory (DFT), we probe empirical predictions and findings around two examples--the DFT of infant perseverative reaching that explains Piaget's A-not-B…
Descriptors: Cognitive Development, Systems Approach, Models, Theories
Ellefson, Michelle R.; Shapiron, Laura R.; Chater, Nick – Cognitive Development, 2006
Switching between tasks produces decreases in performance as compared to repeating the same task. Asymmetrical switch costs occur when switching between two tasks of unequal difficulty. This asymmetry occurs because the cost is greater when switching to the less difficult task than when switching to the more difficult task. Various theories about…
Descriptors: Children, Difficulty Level, Adults, Age Differences