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Dynamic systems theory approach to consciousness.

A Bielecki1, A Kokoszka, P Holas

  • 1Computer Science Department, Jagiellonian University, Cracow, Poland. kokoszka@psych.waw.pl

The International Journal of Neuroscience
|September 30, 2000
PubMed
Summary

Consciousness is multileveled, with humans experiencing diverse states. A three-dimensional model, grounded in dynamic systems theory and artificial neural networks, offers a mathematical framework for understanding consciousness.

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Area of Science:

  • Psychology
  • Cognitive Science
  • Theoretical Neuroscience

Background:

  • Existing literature suggests consciousness is multileveled, encompassing a spectrum of human experiences.
  • Current approaches to consciousness vary, necessitating a unified framework for better understanding.

Purpose of the Study:

  • To review and synthesize existing approaches to consciousness.
  • To introduce and discuss a three-dimensional model of consciousness states.
  • To explore the mathematical underpinnings of consciousness using dynamic systems theory.

Main Methods:

  • Literature review of major consciousness theories.
  • Development and mathematical description of a three-dimensional consciousness model.
  • Analysis of model congruence with dynamic systems theory and artificial neural networks.

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Main Results:

  • Consciousness is characterized as multileveled with a wide range of human-experiential states.
  • A novel three-dimensional model of consciousness states is presented and mathematically defined.
  • The model's alignment with dynamic systems theory provides a robust framework for psychological exploration.

Conclusions:

  • The proposed model offers a mathematically supported framework for understanding the complexity of consciousness.
  • The integration of dynamic systems theory and artificial neural networks provides new avenues for consciousness research.
  • This work supports the use of mathematical formalisms in advancing psychological theories of consciousness.