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    How computational models help explain the origins of reasoning

    Mareschal, Denis and Thomas, Michael S.C. (2006) How computational models help explain the origins of reasoning. IEEE Computational Intelligence Magazine 1 (3), pp. 32-40. ISSN 1556-603x.

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    Abstract

    Developmental psychology is ready to blossom into a modern science that focuses on causal mechanistic explanations of development rather than just describing and classifying the skills that children show at different ages. Computational models of cognitive development are formal systems that track the changes in information processing taking place as a behavior is acquired. Models are generally implemented as psychologically constrained computer simulations that learn tasks such as reasoning, categorization, and language. Their principal use is as tools for exploring mechanisms of transition (development) from one level of competence to the next during the course of cognitive development. They have been used to probe questions such as the extent of ‘pre-programmed’ or innate knowledge that exists in the infant mind, and how the sophistication of reasoning can increase with age and experience.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Cognition, Computational modeling, Cybernetics, Feedback, Layout, Pediatrics, Proposals, Psychology, Speech, Visual system
    School: Birkbeck Schools and Departments > School of Science > Psychological Sciences
    Research Centre: Educational Neuroscience, Centre for, Birkbeck Knowledge Lab, Brain and Cognitive Development, Centre for (CBCD)
    Depositing User: Sarah Hall
    Date Deposited: 15 Mar 2012 15:26
    Last Modified: 09 Dec 2016 11:15
    URI: http://eprints.bbk.ac.uk/id/eprint/4636

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