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Toward automatic constructive learning

Published online by Cambridge University Press:  26 June 2008

Thomas R. Shultz
Thomas R. Shultz
Affiliation:
Department of Psychology, McGill University, Montreal, Quebec H3A 1B1, Canada. thomas.shultz@mcgill.cawww.psych.mcgill.ca/perpg/fac/shultz/personal/default.htm
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Abstract

Neuroconstructivist modeling can be usefully extended with algorithms that build their own topology and recruit existing knowledge, effectively constructing a hierarchy of network modules. Possible benefits include allowing abilities to emerge naturally, in a way that affords objective study, deeper insights, and more rapid progress, and provides more serious consideration of the implications of constructivism.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 31 , Issue 3 , June 2008 , pp. 344 - 345
Copyright
Copyright © Cambridge University Press 2008

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