The computational nature of associative learning

Behavioral and Brain Sciences 32 (2):223-224 (2009)
  Copy   BIBTEX


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



    Upload a copy of this work     Papers currently archived: 91,349

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library


Added to PP

35 (#443,848)

6 months
11 (#226,803)

Historical graph of downloads
How can I increase my downloads?