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Related Experiment Video

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Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
05:33

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Published on: January 29, 2020

Applying an exemplar model to the artificial-grammar task: String completion and performance on individual items.

Randall K Jamieson1, D J K Mewhort

  • 1Department of Psychology, University of Manitoba, Winnipeg, Manitoba, Canada. randy_jamieson@umanitoba.ca

Quarterly Journal of Experimental Psychology (2006)
|October 24, 2009
PubMed
Summary

This study supports the exemplar memory model for artificial grammar learning. Retrieval sensitivity to memory structure explains performance in grammar tasks, linking them to explicit memory principles.

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Area of Science:

  • Cognitive Psychology
  • Memory Research
  • Artificial Grammar Learning

Background:

  • Previous research by Jamieson and Mewhort (2009a) suggested an exemplar memory model explains artificial grammar task performance.
  • The role of memory structure in retrieval processes requires further investigation.

Purpose of the Study:

  • To reinforce the validity of the exemplar memory model in artificial grammar learning.
  • To examine retrieval sensitivity to memory structure using individual test items.
  • To connect artificial grammar task performance with established principles of explicit memory.

Main Methods:

  • Conducting a standard artificial-grammar experiment.
  • Implementing a string-completion variant of the artificial-grammar experiment.
  • Analyzing data at the level of individual test items to assess model fit.

Main Results:

  • The exemplar memory model successfully predicted performance on individual test items in both experimental conditions.
  • Evidence suggests that memory retrieval is influenced by the structural organization of information in memory.
  • Findings align artificial grammar learning with theories of explicit memory retrieval.

Conclusions:

  • The exemplar memory model provides a robust framework for understanding artificial grammar learning.
  • Retrieval processes are demonstrably sensitive to the underlying structure of memory representations.
  • This research bridges the gap between artificial grammar tasks and the broader field of explicit memory research.