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A proper metaphysics for cognitive performance.

Guy C Van Orden1, Miguel A Moreno, John G Holden

  • 1Cognitive Systems Group, Department of Psychology, Arizona State University, Tempe, Arizona 85287, USA. guy.van.orden@asu.edu

Nonlinear Dynamics, Psychology, and Life Sciences
|July 24, 2003
PubMed
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Cognitive performance often fails to identify individual causes, suggesting a need for new metaphysical frameworks. Control hierarchy theory offers a model where self-organization explains intentional actions and process interactions, not just intrinsic dynamics.

Area of Science:

  • Cognitive Science
  • Metaphysics
  • Systems Theory

Background:

  • Current approaches struggle to individuate causal components in cognitive performance.
  • This limitation points to a need for alternative metaphysical underpinnings for cognitive models.

Purpose of the Study:

  • To propose and explore the metaphysics of control hierarchy theory as a framework for understanding cognitive performance.
  • To integrate the concepts of self-organization and process interactions within cognitive science.

Main Methods:

  • Theoretical exploration of control hierarchy theory.
  • Analysis of response time variability and scaling relations in cognitive tasks.
  • Conceptual integration of self-organization principles into cognitive processes.

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Main Results:

  • Control hierarchy theory provides a metaphysical basis that accommodates self-organization in nature and intentional actions.
  • The theory posits that interactions among processes are more dominant than their intrinsic dynamics.
  • Scaling relations in response time variability support the assumption of dominant interactions.

Conclusions:

  • Control hierarchy theory offers a viable alternative metaphysics for cognitive science.
  • This framework can better explain phenomena like self-organization and intentionality in cognitive systems.
  • Focusing on process interactions advances our understanding of cognitive performance variability.