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A Semantic Priming Event-related Potential ERP Task to Study Lexico-semantic and Visuo-semantic Processing in Autism Spectrum Disorder
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Semantic Search in the Remote Associates Test.

Eddy J Davelaar1

  • 1Birkbeck, University of London.

Topics in Cognitive Science
|May 19, 2015
PubMed
Summary
This summary is machine-generated.

This study views the Remote Associates Task (RAT) as a semantic retrieval problem. It proposes a new search strategy in semantic memory that maximizes target-to-distractor activation differences.

Keywords:
Consistent information accumulationCued recallInformation foragingMemory searchOptimal foragingRemote associates testWord association space

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Information Foraging Theory

Background:

  • Semantic memory retrieval often uses multiple cues.
  • Verbal fluency tasks show clustering behavior, explained by optimal foraging theory.
  • The Remote Associates Task (RAT) is typically studied for creativity, not semantic retrieval.

Purpose of the Study:

  • To analyze the Remote Associates Task (RAT) as a semantic retrieval task.
  • To apply information foraging theory to understand RAT search behavior.
  • To investigate cue combination and recall sequence patterns in RAT.

Main Methods:

  • Experimental assessment of the RAT from an information foraging perspective.
  • Analysis of superadditive cue combination effects.
  • Observation of recall sequences to identify search behaviors.

Main Results:

  • Individuals exhibit anti-clustering behavior in the RAT recall sequence.
  • A novel search strategy is identified: maximizing the activation difference between target and distractors.
  • This strategy is particularly effective when targets are weak and cues contain strong competitors.

Conclusions:

  • The RAT can be effectively modeled as a semantic retrieval task using information foraging theory.
  • A new search behavior, maximizing target-distractor activation difference, is proposed for the RAT.
  • This strategy offers an adaptive advantage in complex semantic search environments.