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Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

Reframing Cognitive Science as a Complexity Science.

Luis H Favela^1,2, Mary Jean Amon³

¹Department of Philosophy, University of Central Florida.

Cognitive Science

|April 20, 2023

Summary

This summary is machine-generated.

Complexity science offers a rigorous, quantitative framework for understanding natural systems. Applying its principles to cognitive systems transforms cognitive science, making complexity science a central discipline.

Keywords:

Complexity Computationalism Emergence Nonlinearity Self-organization

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Area of Science:

Integrative scientific framework drawing from systems theory, nonlinear dynamics, and synergetics.

Background:

Complexity science provides common concepts and methods to analyze natural system operations.
It employs quantitative concepts like emergence, nonlinearity, and self-organization.

Discussion:

This approach offers a conceptually compelling and mathematically rigorous understanding of natural cognitive systems.
Complexity science challenges and reframes traditional approaches in cognitive science.

Key Insights:

Cognitive systems can be understood as complex systems.
Complexity science provides a powerful lens for studying cognition.

Outlook:

Cognitive science should integrate complexity science as a foundational discipline.
This integration promises to advance our understanding of the mind and brain.