A constructive neural-network approach to modeling psychological development |
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| Authors: | Thomas R Shultz |
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| Institution: | Department of Psychology and School of Computer Science, McGill University, 1205 Penfield Avenue, Montreal, QC, Canada H3A 1B1 |
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| Abstract: | This article reviews a particular computational modeling approach to the study of psychological development – that of constructive neural networks. This approach is applied to a variety of developmental domains and issues, including Piagetian tasks, shift learning, language acquisition, number comparison, habituation of visual attention, concept learning, and theory of mind. Implications of this modeling for theoretical understanding of psychological development are considered. |
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| Keywords: | Computational modeling Constructive neural networks Psychological development Cascade-correlation |
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