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    Computational perspectives on cognitive development

    Mareschal, Denis (2010) Computational perspectives on cognitive development. Wiley Interdisciplinary Reviews: Cognitive Science 1 (5), p. 696. ISSN 1939-5078.

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    Abstract

    This article reviews the efforts to develop process models of infants' and children's cognition. Computational process models provide a tool for elucidating the causal mechanisms involved in learning and development. The history of computational modeling in developmental psychology broadly follows the same trends that have run throughout cognitive science—including rule‐based models, neural network (connectionist) models, ACT‐R models, ART models, decision tree models, reinforcement learning models, and hybrid models among others.

    Metadata

    Item Type: Article
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Research Centre: Educational Neuroscience, Centre for, Brain and Cognitive Development, Centre for (CBCD)
    Depositing User: Administrator
    Date Deposited: 03 Feb 2011 10:08
    Last Modified: 09 Dec 2016 11:16
    URI: http://eprints.bbk.ac.uk/id/eprint/3018

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