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The computational nature of associative learning

Published online by Cambridge University Press:  23 April 2009

N. A. Schmajuk  and
G. M. Kutlu
N. A. Schmajuk
Affiliation:
Department of Psychology and Neuroscience, Duke University, Durham, NC 27516. nestor@duke.edugunes.kutlu@duke.edu
G. M. Kutlu
Affiliation:
Department of Psychology and Neuroscience, Duke University, Durham, NC 27516. nestor@duke.edugunes.kutlu@duke.edu
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Abstract

An attentional-associative model (Schmajuk et al. 1996), previously evaluated against multiple sets of classical conditioning data, is applied to causal learning. In agreement with Mitchell et al.'s suggestion, according to the model associative learning can be a conscious, controlled process. However, whereas our model correctly predicts blocking following or preceding subadditive training, the propositional approach cannot account for those results.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 32 , Issue 2 , April 2009 , pp. 223 - 224
Copyright
Copyright © Cambridge University Press 2009

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