Irresistibly Attractive Fruitless Feature Dimensions.
Toshihiko Matsuka, James E. Corter, Stephen José Hanson · 2004
Although selective attention allocation has been suggested to be one of the most important processes implemented in the recent computational models of category learning (e.g., Kruschke, 1992), the models ’ predictions on attention allocation have been virtually ignored by cognitive modeling researchers. Rather almost all modeling studies had focused solely on the models ’ capabilities in reproducing observed learning curves or classification response patterns, and thus the models ’ descriptive validities on their selective attention allocation processes have remained still mostly untested. Though they did not directly evaluate the descriptive validities of attention processes in computational models of category learning, Matsuka, Corter, and Markman (2004) conducted a set of simulation studies indicating that information on predicted patterns of attention allocation can be informative in differentiating