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Related Concept Videos

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
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Related Experiment Video

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Identifying and individuating cognitive systems: a task-based distributed cognition alternative to agent-based

Jim Davies1, Kourken Michaelian2

  • 1Institute of Cognitive Science, Carleton University, Ottawa, Canada. jim@jimdavies.org.

Cognitive Processing
|April 2, 2016
PubMed
Summary

This study proposes a task-based approach to define cognitive systems, overcoming limitations of agent-based and standard distributed cognition models. This method effectively scales and avoids cognitive bloat.

Keywords:
Cognitive systemsDistributed cognitionExtended cognitionPhilosophy of mindVisual re-representation

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Area of Science:

  • Cognitive Science
  • Philosophy of Mind
  • Cognitive Systems Theory

Background:

  • Existing agent-based extended cognition approaches struggle with defining boundaries, leading to 'cognitive bloat' and difficulties in scaling to sub- and supra-individual levels.
  • Standard distributed cognition models accommodate supra-individual systems but also face 'cognitive bloat' and challenges with sub-individual systems.

Purpose of the Study:

  • To introduce and advocate for a task-based variant of distributed cognition.
  • To demonstrate a method that smoothly scales to both sub- and supra-individual cognitive systems.
  • To provide a principled solution for avoiding cognitive bloat in cognitive system individuation.

Main Methods:

  • Development of a task-based framework for analyzing cognitive systems.
  • Application of the framework to two parallel case studies: human visual re-representation and a biomedical engineering laboratory.

Main Results:

  • The task-based approach successfully scales both down (sub-individual) and up (supra-individual).
  • The proposed method offers a principled way to prevent cognitive bloat.
  • Case studies illustrate the practical advantages and applicability of the task-based approach.

Conclusions:

  • A task-based distributed cognition approach provides a more flexible and principled framework for identifying and individuating cognitive systems.
  • This approach effectively addresses the limitations of previous models concerning scalability and cognitive bloat.
  • The findings have implications for understanding cognition across different scales, from neural processes to complex collaborative environments.