Miquel -
The Rescorla-Wagner model predicts learning on a particular trial, based on
the previous "knowledge" and the salience of the CS and US. If the CS or US
are changed from one trial to the next, the model accommodates this by
changing the alpha and beta parameters in the equation. Each of the stimulus
intensities could be changed on each trial, and the model could still make a
prediction. (Whether these predictions come true is another thing.)
I have a plane to catch, and I can't dig up this kind of references out of
my head, but I think the Lieberman learning text has quite a bit of detail
on the R-W model. You might check there.
Good luck.
Michael Renner
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Michael J. Renner, Ph.D. voice: 610-436-2925
Professor of Psychology fax: 610-436-2846
Institutional Research Fellow e-mail: [EMAIL PROTECTED]
West Chester University
West Chester, PA 19383-2112
Office hours for Fall 1999 (Peoples 32):
Tuesday & Thursday 9:15-11:00 am; Friday 1:00-2:30 pm
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