DocumentCode
643206
Title
Computational researches: Reasoning on evolution of technical and biological systems
Author
Kolokolov, Yury ; Monovskaya, Anna
Author_Institution
World Data Center, Russian Res. Inst. of Hydrometeorological Inf., Obninsk, Russia
Volume
02
fYear
2013
fDate
12-14 Sept. 2013
Firstpage
801
Lastpage
806
Abstract
As a result of abstract computational researches of nonlinear dynamics in relation to technical systems, it is possible to find structures characterized by a close analogy with the structures, which are typical to biological systems. Such case can give a cause for a new viewpoint. So, the new interpretation of adaptation mechanisms in relation to technical and biological systems based on regularities and uncertainties in the baseline scenario of nonlinear dynamics evolution is proposed in the paper.
Keywords
biology; nonlinear control systems; abstract computational researches; adaptation mechanisms; biological systems; nonlinear dynamics evolution; technical systems; Bifurcation; Biological systems; Computational modeling; Evolution (biology); Fractals; Nonlinear dynamical systems; Uncertainty; adaptation; computer simulation; evolution; forecating; fractal approach; modified bifurcation diagram; pulse system; uncertanty zone;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location
Berlin
Print_ISBN
978-1-4799-1426-5
Type
conf
DOI
10.1109/IDAACS.2013.6663036
Filename
6663036
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