Using Interpolation Regions to Discriminate Models of Function Learning
نویسنده
چکیده
This paper serves to compare existing models of function learning (EXAM & POLE) on a complex interpolation task. Previous comparisons of the models have focused primarily on extrapolation behaviors. Participants’ mean responses suggested a simple linear interpolation from nearby points of reference. Both models were able to predict a similar response. Although POLE served as a better predictor of responses made during training, the EXAM model was a better predictor of interpolation responses.
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تاریخ انتشار 2007