BIROn - Birkbeck Institutional Research Online

    Development of children's seriation: a connectionist approach

    Mareschal, Denis and Shultz, T.R. (1999) Development of children's seriation: a connectionist approach. Connection Science 11 (2), pp. 149-186. ISSN 0954-0091.

    Full text not available from this repository.

    Abstract

    This paper presents a modular connectionist network model of the development of seriation (sorting) in children. The model uses the cascade-correlation generative connectionist algorithm. These cascade-correlation networks do better than existing rule-based models at developing through soft stage transitions, sorting more correctly with larger stimulus size increments and showing variation in seriation performance within stages. However, the full generative power of cascade-correlation was not found to be a necessary component for successfully modelling the development of seriation abilities. Analysis of network weights indicates that improvements in seriation are due to continuous small changes instead of the radical restructuring suggested by Piaget. The model suggests that seriation skills are present early in development and increase in precision during later development. The required learning environment has a bias towards smaller and nearly ordered arrays. The variability characteristic of children's performance arises from sorting subsets of the total array. The model predicts better sorting moves with more array disorder, and a dissociation between which element should be moved and where it should be moved.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Cognitive Development, Cascade Correlation, Seriation, Sorting
    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 09:31
    Last Modified: 02 Aug 2017 09:31
    URI: https://eprints.bbk.ac.uk/id/eprint/19265

    Statistics

    Downloads
    Activity Overview
    0Downloads
    52Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item