From Repetition Suppression in Stroop to Backward Inhibition in Task Switching: An Example of Model Reusability

Ion Juvina; James A. Grange; Christian Lebiere

doi:10.3233/978-1-60750-959-2-168

From Repetition Suppression in Stroop to Backward Inhibition in Task Switching: An Example of Model Reusability

Ion Juvina, James A. Grange, Christian Lebiere

Wright State University

Research output: Other contribution

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.

Original language	American English
DOIs	https://doi.org/10.3233/978-1-60750-959-2-168
State	Published - Nov 1 2011

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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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AB - 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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From Repetition Suppression in Stroop to Backward Inhibition in Task Switching: An Example of Model Reusability

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