Measuring and Modeling Sequence Effects in Categorization and Absolute Identification

Measuring and Modeling Sequence Effects in Categorization and Absolute Identification

108 pages· 2006· ISBN 9780494185674
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I present a model for classification and identification based on dynamic shifts in representation. The model is the first unified account of classification and identification that solves the problem of sequence effects in both tasks. In addition, the model predicts accuracy of responding, bow and distance to boundary effects.

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