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Halford, Graeme S.; Andrews, Glenda; Wilson, William H.; Phillips, Steven – Cognitive Development, 2012
Acquisition of relational knowledge is a core process in cognitive development. Relational knowledge is dynamic and flexible, entails structure-consistent mappings between representations, has properties of compositionality and systematicity, and depends on binding in working memory. We review three types of computational models relevant to…
Descriptors: Computation, Models, Cognitive Development, Cognitive Processes
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
Simmering, Vanessa R.; Patterson, Rebecca – Cognitive Development, 2012
Numerous studies have established that visual working memory has a limited capacity that increases during childhood. However, debate continues over the source of capacity limits and its developmental increase. Simmering (2008) adapted a computational model of spatial cognitive development, the Dynamic Field Theory, to explain not only the source…
Descriptors: Short Term Memory, Visual Perception, Children, Cognitive Development
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
Westermann, Gert; Mareschal, Denis – Cognitive Development, 2012
Computational models are tools for testing mechanistic theories of learning and development. Formal models allow us to instantiate theories of cognitive development in computer simulations. Model behavior can then be compared to real performance. Connectionist models, loosely based on neural information processing, have been successful in…
Descriptors: Classification, Infants, Cognitive Development, Computation
Shultz, Thomas R. – Cognitive Development, 2012
This article reviews a particular computational modeling approach to the study of psychological development--that of constructive neural networks. This approach is applied to a variety of developmental domains and issues, including Piagetian tasks, shift learning, language acquisition, number comparison, habituation of visual attention, concept…
Descriptors: Individual Development, Psychology, Computation, Models

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