NATURALSCIENCE: FROM STOCHASTICS TO CHAOS AND SELF-ORGANIZATION

Abstract

The problem of “repetition without repetition” proposed by N. A. Bernstein in 1947 has now transformed into the Eskov-Zinchenko effect. Its core is the lack of stochastic stability of any psychophysiological parameters that identify physical, physiological human functions. It is the basis of a new chaos - self-organization theory (CSOT) that demonstrates the limitations of the statistical (conventional) approach in psychology and offers new opportunities in studying mental functions (under various conditions). Psychology used to estimate any x i human psychophysiological features with random (unique) datasets. The new CSOT offers the concept of homeostasis, its evolution, uncertainties of the 1 st and 2 nd kind, and the concept of quasi attractor. These are new approaches for psychologists and new tools to understand the processes in the human organism, and how the mind is affected by the environmental factors or internal changes. The new approach offers new opportunities for studying the brain and its functions in terms of chaotic dynamic behavior of brain neural networks and effector systems controlled by the brain. Actually it is a new domain in psychology, a psychology of the future, psychology of brain studies and its homeostasis in terms of chaos reality in the dynamic neural networks. There is no static stability (within xi datasets of human homeostasis in a row). Not it is possible to learn the human cognitive functions that used to be studied with deterministic or stochastic approach.