Shultz, T. R. (2003). Computational explorations of cognitive development. Proceedings of the Twenty-fifth Annual
Conference of the Cognitive Science Society.
Considerable leverage on basic issues in development can be
gained by applying computational modeling, particularly with artificial neural
networks. The cascade-correlation algorithm has been applied to a variety of
developmental phenomena including the balance scale, conservation, seriation, personal pronouns, discrimination shift
learning, habituation of attention, concept acquisition, and concepts of
velocity, time, and distance. The simulations clarify a number of longstanding
developmental issues such as knowledge representation, representation change,
stage sequences, transition, the possibility of
constructivism, the presence of perceptual effects in cognitive tasks,
emergence of non-normative rules, and the trajectory of development.
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