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From Repetition Suppression in Stroop to Backward Inhibition in Task Switching: An Example of Model Reusability
Ion Juvina, James A. Grange, Christian Lebiere
168 - 173
10.3233/978-1-60750-959-2-168
Frontiers in Artificial Intelligence and Applications
Volume 233: Biologically Inspired Cognitive Architectures 2011
Abstract

The concept of inhibition from cognitive neuroscience can inform the development of biologically-inspired cognitive architectures. Here we summarize a few attempts to develop an inhibition mechanism for the ACT-R architecture. The starting point is a model that uses inhibition to account for sequence effects in the Stroop task. This model is improved by adding a more general inhibition mechanism that requires less input from the modeler. Then, the modified model is used to account for backward inhibition in task switching, making a case for model generality and reusability.

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