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Behavior Research Methods
Article . 2007 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
e-Prints Soton
Article . 2007 . Peer-reviewed
Data sources: e-Prints Soton
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Simulation of associative learning with the replaced elements model

Authors: Glautier, Steven;

Simulation of associative learning with the replaced elements model

Abstract

Associative learning theories can be categorized according to whether they treat the representation of stimulus compounds in an elemental or a configural manner. Since it is clear that a simple elemental approach to stimulus representation is inadequate, there have been several attempts to produce more elaborate elemental models. One recent approach, the replaced elements model (Wagner, 2003), reproduces many results that have until recently been uniquely predicted by Pearce's configural theory (Pearce, 1994). Although it is possible to simulate the replaced elements model using "standard" simulation programs, the generation of the correct stimulus representation is complex. The present article describes a method for simulation of the replaced elements model and presents the results of two example simulations that show differential predictions of replaced elements and Pearce's configural theory.

Country
United Kingdom
Related Organizations
Keywords

Psychology, Experimental, Association Learning, Humans, Computer Simulation, Models, Psychological

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Top 10%
bronze