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Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
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Published on: January 29, 2020

Measuring strategic control in artificial grammar learning.

Elisabeth Norman1, Mark C Price, Emma Jones

  • 1Faculty of Psychology, University of Bergen, Postboks 7807, 5020 Bergen, Norway. Elisabeth.Norman@psysp.uib.no

Consciousness and Cognition
|August 10, 2011
PubMed
Summary
This summary is machine-generated.

Researchers developed a stricter method to measure strategic control in artificial grammar learning (AGL). This new approach reveals detailed strategic control even without explicit rule awareness, advancing implicit learning research.

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Last Updated: May 30, 2026

Experimental Paradigm for Measuring the Effect of Induced Emotion on Grammar Learning
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Published on: January 29, 2020

Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE
06:57

Modeling Verbal Behavior Deficits with the Stimulus Control Ratio Equation, SCoRE

Published on: May 14, 2019

Area of Science:

  • Cognitive Psychology
  • Artificial Intelligence
  • Machine Learning

Background:

  • Existing methods for measuring strategic control in artificial grammar learning (AGL) have limitations.
  • Implicit knowledge acquisition and strategic control are key areas in cognitive science.

Purpose of the Study:

  • To introduce and validate a more stringent measurement procedure for strategic control in AGL.
  • To investigate the presence of strategic control under conditions designed to minimize explicit learning.

Main Methods:

  • Participants were trained on two distinct grammars presented in separate blocks.
  • Two conditions were employed: a pure-block condition (focusing on one grammar) and a novel mixed-block condition (randomly varying grammars).
  • Variations in letter color and font were used to obscure rule characteristics and reduce explicit rule discovery.

Main Results:

  • Strategic control was evident in both the pure-block and mixed-block conditions.
  • Significant strategic control was observed even in participants who did not consciously identify the underlying rule.
  • The findings suggest that strategic control can operate independently of explicit knowledge.

Conclusions:

  • The proposed measurement procedure offers a more rigorous assessment of strategic control in AGL.
  • Detailed strategic control is possible even when explicit learning is minimal or absent.
  • This research contributes to understanding the mechanisms of implicit learning and cognitive control.