An instance theory of associative learning

Jamieson, Randall K., Crump, Matthew J. C. and Hannah, Samuel D. (2012) An instance theory of associative learning. Learning and Behavior, 40 1: 61-82. doi:10.3758/s13420-011-0046-2

Author Jamieson, Randall K.
Crump, Matthew J. C.
Hannah, Samuel D.
Title An instance theory of associative learning
Journal name Learning and Behavior   Check publisher's open access policy
ISSN 1543-4494
Publication date 2012-03
Year available 2011
Sub-type Article (original research)
DOI 10.3758/s13420-011-0046-2
Volume 40
Issue 1
Start page 61
End page 82
Total pages 22
Place of publication New York, NY, United States
Publisher Springer New York
Collection year 2012
Language eng
Abstract We present and test an instance model of associative learning. The model, Minerva-AL, treats associative learning as cued recall. Memory preserves the events of individual trials in separate traces. A probe presented to memory contacts all traces in parallel and retrieves a weighted sum of the traces, a structure called the echo. Learning of a cue–outcome relationship is measured by the cue’s ability to retrieve a target outcome. The theory predicts a number of associative learning phenomena, including acquisition, extinction, reacquisition, conditioned inhibition, external inhibition, latent inhibition, discrimination, generalization, blocking, overshadowing, overexpectation, superconditioning, recovery from blocking, recovery from overshadowing, recovery from overexpectation, backward blocking, backward conditioned inhibition, and second-order retrospective revaluation. We argue that associative learning is consistent with an instance-based approach to learning and memory.
Keyword Associative learning
Instance theory
Exemplar theory
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online 14 September 2011.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2012 Collection
School of Psychology Publications
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 13 times in Scopus Article | Citations
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Created: Thu, 01 Dec 2011, 15:31:33 EST by Dr. Samuel Hannah on behalf of Faculty of Social & Behavioural Sciences