Dr. Vladimir G. Red'ko
- Physicist, Cybernetician
- Member of the Russian Neural Networks
Society
Address: Keldysh
Institute of Applied Mathematics, 4
Miusskaya sq., Moscow RU-125047, Russia
E-mail: redko[ at ]keldysh.ru
Fax
+7
(095) 972-0737
Phone
+7 (095) 250-7802 (office)
Research Interests:
Evolutionary biocybernetics, Evolution of
biological information systems, Problem of human logic origin,
Problem of applicability of human logic to the cognition of
nature.
See also Local
Homepage
Biographical Sketch
Vladimir G. Redko received Ph.D. (from Moscow Institute
of Physics and Technology) and Doctor of Science (from State
Research and Development Institute of Physical Problems) degrees
in 1978 and 1995, respectively.
V.G. Redko has worked in several industrial Research and
Development Institutes (State R & D Institute of Physical
Problems, Central R & D Technological Institute, R & D
Institute of Materials Science) in Moscow. During the work at
above-mentioned institutes Redko has been theoretically
investigating the dynamics of magnetic domain walls and vertical
Bloch lines (these objects are nonlinear, soliton-like entities),
as well as the physical basis of magnetic microelectronic
devices. Presently, he is a Senior Researcher in the Sector of Nonlinear Dynamics, Keldysh
Institute of Applied Mathematics, Russian
Academy of Sciences.
Since 1979 Redko turned his scientific interests to the
problem: Why and how did highly organized biological
information systems arise through evolution? He has
developed several mathematical models describing biocybernetic
properties at very early stages of biological evolution. Some of
these models (e.g. the Spin-glass model of
evolution and the Adaptive syser)
are described in the PCP node Models of
molecular-genetic systems origin.
Redko has proposed a methodology of evolutionary
biocybernetics. The methodology pays special attention to 1)
mathematical models of key cybernetic properties of biological
organisms, 2) the evolution of animal cognition abilities, 3) the
problem of the origin of human logic, and 4) the
interdisciplinary character of evolutionary biocybernetics
research. This methodology is summarized in his paper Towards the evolutionary
biocybernetics.