A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf
.
Instance-based learning: a general model of repeated binary choice
2012
Development and Learning in Organizations: An International Journal
A common practice in cognitive modeling is to develop new models specific to each particular task. We question this approach and draw on an existing theory, instance-based learning theory (IBLT), to explain learning behavior in three different choice tasks. The same instance-based learning model generalizes accurately to choices in a repeated binary choice task, in a probability learning task, and in a repeated binary choice task within a changing environment. We assert that, although the three
doi:10.1108/dlo.2012.08126daa.003
fatcat:fuup5hjmebbmtajzggdhclq4xa