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    Modeling cognitive development on balance scale phenomena

    Shultz, T.R. and Mareschal, Denis and Schmidt, W.C. (1994) Modeling cognitive development on balance scale phenomena. Machine Learning 16 (1/2), pp. 57-86. ISSN 0885-6125.

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    Abstract

    We used cascade-correlation to model human cognitive development on a well studied psychological task, the balance scale. In balance scale experiments, the child is asked to predict the outcome of placing certain numbers of equal weights at various distances to the left or right of a fulcrum. Both stage progressions and information salience effects have been found with children on this task. Cascade-correlation is a generative connectionist algorithm that constructs its own network topology as it learns. Cascade-correlation networks provided better fits to these human data than did previous models, whether rule-based or connectionist. The network model was used to generate a variety of novel predictions for psychological research.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): cognitive development, balance scale, connectionist learning, cascade-correlation
    School: School of Science > Psychological Sciences
    Research Centres and Institutes: Brain and Cognitive Development, Centre for (CBCD)
    Depositing User: Administrator
    Date Deposited: 02 Aug 2017 10:25
    Last Modified: 02 Aug 2017 10:25
    URI: https://eprints.bbk.ac.uk/id/eprint/19271

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