• 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