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Explanation as a Cognitive Process.

Zachary Horne1, Melis Muradoglu2, Andrei Cimpian3

  • 1School of Social and Behavioral Sciences, Arizona State University, Phoenix, AZ, USA; These authors contributed equally to this work.

Trends in Cognitive Sciences
|January 20, 2019
PubMed
Summary
This summary is machine-generated.

Cognitive science research on explanation can improve by studying how cognitive systems, like attention and memory, shape explanations. This mechanistic approach reveals biases, such as favoring inherent information, in how people generate explanations.

Keywords:
attentionexplanationinherence biaslong-term memorymetacognitionworking memory

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Area of Science:

  • Cognitive Science
  • Psychology

Background:

  • Understanding human explanation is central to cognitive science.
  • Existing research acknowledges cognitive systems influence explanations but lacks in-depth investigation.

Purpose of the Study:

  • To advocate for a mechanistic approach in explanation research.
  • To highlight how cognitive systems (e.g., attention, memory) shape explanatory outputs.

Main Methods:

  • Literature review and theoretical argument.
  • Illustrative example from recent research on inherent information bias.

Main Results:

  • Explanations are significantly shaped by underlying cognitive mechanisms.
  • A bias towards inherent information in explanations is observed.

Conclusions:

  • Integrating knowledge of cognitive system parameters can advance explanation research.
  • A mechanistic perspective offers new insights into explanation generation.