The evolution of the chaotic dynamics of collective modes as a method for the behavioral description of living systems


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

Human-scaled (in complexity) systems possess a unique feature, viz., the continuous random motion of many components of the state vector x = x(t) of such living systems. Taking this property into consideration causes the rejection of any of the known types of stationary modes (e.g., dx/dt = 0) and requires revision of the concept of chaos. A new approach to the understanding of living systems (as a third paradigm of the natural sciences) and new methods for the study of living systems (as a theory of chaos and self-organization) are proposed. Common grounds of physics and theory of chaos and self-organization are revealed as a generalized uncertainty principle and a limit on the parameters of quasi-attractors.

作者简介

V. Eskov

Department of Biophysics and Neurocybemetics, Institute of Natural and Technical Sciences

编辑信件的主要联系方式.
Email: valery.eskov@gmail.com
俄罗斯联邦, ul. Lenina 1, Surgut, 628415

V. Eskov

Department of Biophysics and Neurocybemetics, Institute of Natural and Technical Sciences

Email: valery.eskov@gmail.com
俄罗斯联邦, ul. Lenina 1, Surgut, 628415

J. Vochmina

Department of Biophysics and Neurocybemetics, Institute of Natural and Technical Sciences

Email: valery.eskov@gmail.com
俄罗斯联邦, ul. Lenina 1, Surgut, 628415

T. Gavrilenko

Department of Biophysics and Neurocybemetics, Institute of Natural and Technical Sciences

Email: valery.eskov@gmail.com
俄罗斯联邦, ul. Lenina 1, Surgut, 628415

补充文件

附件文件
动作
1. JATS XML

版权所有 © Allerton Press, Inc., 2016