A generalization becomes suppressed over time in the context of exceptions

Karina Tachihara, Kenneth A. Norman, Nicholas Turk-Browne, Adele E. Goldberg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

There has been a great deal of interest in how generalizations and exceptions are learned, with particular interest in how speakers learn to avoid overgeneralizations. Do overgeneralizations disappear only because exceptions become more strongly represented or does the generalization itself become suppressed? Novel labels were constructed by combining 56 syllables with one of two prefixes, and each label was assigned a unique image. Most labels with the first prefix were paired with images from a generalization category, whereas exceptional labels were paired with images from a different semantic category. All labels with the second prefix appeared with a third category (“baseline”). Participants used a computer mouse to choose one of two images for each label. Mouse-tracking results show that the generalization itself became suppressed over time in the context of exceptional labels. A post-test demonstrated that exceptions were learned with item-specific precision.

Original languageEnglish (US)
Title of host publicationProceedings of the 41st Annual Meeting of the Cognitive Science Society
Subtitle of host publicationCreativity + Cognition + Computation, CogSci 2019
PublisherThe Cognitive Science Society
Pages2905-2911
Number of pages7
ISBN (Electronic)0991196775, 9780991196777
StatePublished - 2019
Event41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019 - Montreal, Canada
Duration: Jul 24 2019Jul 27 2019

Publication series

NameProceedings of the 41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019

Conference

Conference41st Annual Meeting of the Cognitive Science Society: Creativity + Cognition + Computation, CogSci 2019
Country/TerritoryCanada
CityMontreal
Period7/24/197/27/19

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Keywords

  • exceptions
  • generalization
  • language acquisition
  • mouse-tracking
  • overgeneralization

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