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Improving perception to make distant connections closer.

Robert L Goldstone1, David Landy, Lionel C Brunel

  • 1Department of Psychological and Brain Sciences, Indiana University Bloomington, IN, USA.

Frontiers in Psychology
|December 31, 2011
PubMed
Summary
This summary is machine-generated.

High-level cognition relies on sub-symbolic representations grounded in perception, not just explicit knowledge. Training perceptual systems enhances reasoning by altering how we process information, enabling connections between seemingly unrelated situations.

Keywords:
cognitive penetrabilitymathematical reasoningperceptual learningprimingscience educationtransfer

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Psychology

Background:

  • High-level cognition requires explaining connections between dissimilar situations.
  • Existing accounts struggle with how people infer relationships without explicit knowledge.
  • Sub-symbolic representations grounded in perception, action, and space are proposed as a basis for these connections.

Purpose of the Study:

  • To investigate how perceptually grounded representations facilitate high-level cognition.
  • To explore mechanisms by which perceptual systems can be altered to support abstract reasoning.
  • To demonstrate how training and strategic adjustments improve the ability to draw inferences between superficially unrelated situations.

Main Methods:

  • Examining evidence for sub-symbolic representations in cognitive tasks.
  • Analyzing how perceptual processes can be modified through training and strategic deployment.
  • Presenting 21 illustrations of perceptual system alterations to support reasoning needs.

Main Results:

  • Perceptual systems can be systematically altered to better serve high-level reasoning.
  • Perceptually based processes can approximate formal computations.
  • Training enhances the ability to perceive relations not initially apparent.

Conclusions:

  • Perceptually grounded accounts offer a viable framework for understanding high-level cognition.
  • Modifying perceptual systems is a key mechanism for bridging the gap between perception and abstract reasoning.
  • The study provides concrete examples of perceptual adjustments that improve inferential capabilities.