Differential forgetting of prototypes and old instances: Simulation by an exemplar-based classification model

TLDR: It is demonstrated that a common finding in studies of classification learning is that ability to classify the prototype of a category declines much less over a retention interval than does the ability to classification the previously seen exemplars themselves, and suggested that the key to the prediction of differential forgetting may be the concomitance of forgetting and generalization.

Abstract: A common finding in studies of classification learning is that ability to classify the prototype of a category declines much less over a retention interval than does the ability to classify the previously seen exemplars themselves. We demonstrate here that this finding does not necessarily indicate the existence, in memory, of a representation of the prototype. MINERVA, a computer-simulation model that encodes memory traces only of presented exemplars, was tested on an appropriate task. Differential forgetting of prototypes and old instances was shown by a version of the model that assumed that (1) classification is based on the exemplar trace most similar to the test stimulus and (2) individual properties are lost from the traces over time in an all-or-none fashion. It is suggested that, in general, the key to the prediction of differential forgetting may be the concomitance of forgetting and generalization.