Dynamic systems theory approach to consciousness.
A Bielecki, A Kokoszka, P Holas
The International journal of neuroscience 2000 DOI: 10.3109/00207450009035007 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that consciousness is multileveled and that Kokoszka's three-dimensional model, described mathematically via dynamic systems theory, gains support from its congruence with mathematical descriptions. Proposes connections with artificial neural networks and applications in psychology. |
Abstract
The review of the main existing approaches to consciousness in the literature indicates that consciousness is multileveled and that humans have an ability to experience a wide range of its various states. The common views of the main approaches to consciousness are identified and considered in a three-dimensional model of states of consciousness developed by Kokoszka. This model is then described and discussed using a mathematical terms of dynamic systems theory. Since mathematics is an accepted tool for the description of the physical world, the congruence of psychological and mathematical models is understood as a meaningful support to the psychological one. Connections of the models with artificial neural networks and some applications in psychology are considered.