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The Dynamicist Landscape.

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  • 1Departments of Philosophy and Neuroscience, University of Pennsylvania.

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Summary
This summary is machine-generated.

The dynamical hypothesis needs refinement. This study categorizes dynamical systems along four dimensions to better understand cognitive systems and their unique properties.

Keywords:
CognitionComputationDynamical systemsExplanation

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Area of Science:

  • Cognitive Science
  • Dynamical Systems Theory
  • Philosophy of Mind

Background:

  • The dynamical hypothesis posits cognitive systems as dynamical systems.
  • Current formulations are too broad, failing to distinguish cognitive systems or specific theories.
  • Dynamical systems are crucial for understanding cognitive phenomena.

Purpose of the Study:

  • To refine the dynamical hypothesis by categorizing dynamical systems.
  • To provide a framework for distinguishing between different types of dynamical systems relevant to cognition.
  • To address the limitations of the current broad dynamical hypothesis.

Main Methods:

  • Distinguishing several types of dynamical systems.
  • Outlining four key dimensions for classifying dynamical systems: total-state vs. partial-state, internal vs. external, macroscopic vs. microscopic, and systemic vs. componential.
  • Illustrating these dimensions with concrete examples.

Main Results:

  • Identification of four critical dimensions for characterizing dynamical systems.
  • Demonstration of how these dimensions differentiate various dynamical system types.
  • Illustration of specific types of dynamicism, such as partial-state, internal, microscopic, componential dynamicism.

Conclusions:

  • The proposed categorization offers a more precise framework for the dynamical hypothesis.
  • This refined approach enhances the specificity of dynamical systems in cognitive science.
  • The four dimensions provide a valuable tool for analyzing and comparing cognitive system theories.