Function Learning: An Exemplar Account of Extrapolation Performance

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Authors
  1. Kwantes, P.J.
  2. Nealm A.
Corporate Authors
Defence R&D Canada - Toronto, Toronto ONT (CAN)
Abstract
A function describes a one-to-one relationship between combinations of predictor and criterion variables. In this paper, we describe a new memory model that learns functional relationships. Two versions of the model are described. The first version learns the bivarite relationship between a single predictor and criterion. The second version expands on the first to multiple predictors. For both versions of the model, we present empirical data to test them and find that they do a good job of accounting for human performance.

Il y a un résumé en français ici.

Keywords
function learning;extrapolation;memory
Report Number
DRDC-TORONTO-TR-2003-138 — Technical Report
Date of publication
29 Oct 2003
Number of Pages
27
DSTKIM No
CA023722
CANDIS No
521106
Format(s):
Electronic Document(PDF);CD ROM

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