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
Link To Document :
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