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

Ion Juvina, James A. Grange, Christian Lebiere

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationBiologically Inspired Cognitive Architectures 2011 Proceedings of the Second Annual Meeting of the BICA Society
PublisherIOS Press BV
Pages168-173
Number of pages6
ISBN (Print)9781607509585
DOIs
StatePublished - 2011
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume233
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

ASJC Scopus Subject Areas

  • Artificial Intelligence

Keywords

  • Cognitive architecture
  • cognitive inhibition
  • Stroop
  • task switching

Disciplines

  • Artificial Intelligence and Robotics

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