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Author Mareschal, Denis ♦ Shultz, Thomas R.
Source CiteSeerX
Content type Text
Publisher Erlbaum
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Generative Connectionist Algorithm ♦ Possible Processing Mechanism ♦ Present Simulation ♦ Perceptual Effect ♦ Connectionist Network ♦ Fahlman Lebiere ♦ Previous Rule-based Model ♦ Cognitive Development ♦ Generative Learning Algorithm ♦ Seriation Stage Transition ♦ Psychological Research ♦ Connectionist Model ♦ Cognitive Stage ♦ Perceptual Constraint ♦ Stage Progression ♦ Plunkett Sinha ♦ Psychological Regularity ♦ Basic Phenomenon ♦ Introduction Recent Research ♦ Bates Elman
Description Seriation is the ability to order a set of objects on some dimension such as size. Psychological research on the child's development of seriation has uncovered both cognitive stages and perceptual constraints. A generative connectionist algorithm, cascadecorrelation, is used to successfully model these psychological regularities. Previous rule-based models of seriation have been unable to capture either stage progressions or perceptual effects. The present simulations provide a number of insights about possible processing mechanisms for seriation, the nature of seriation stage transitions, and the opportunities provided by the environment for learning about seriation. Introduction Recent research has indicated that basic phenomena in cognitive development can be successfully modeled with connectionist networks (cf. reviews by Bates & Elman, 1992; Plunkett & Sinha, 1992; Shultz, 1991). Generative learning algorithms, such as cascadecorrelation (Fahlman & Lebiere, 1990), are particular...
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1993-01-01
Publisher Institution Proceedings of the fifteenth annual Conference of the Cognitive Science Society