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Two types of systems and three types of paradigms in systems philosophy and system science

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DOI: 10.4236/jbise.2012.510075    5,324 Downloads   9,215 Views   Citations

ABSTRACT

Now it is evident that nature and society have a great number of special systems which very differ from traditional objects (systems) of physics, chemists and engineering. For such special (synergetic-chaotic) systems we are proposed the special third paradigm and construct five basic properties of (unique) systems and on 13 differences in the methods, basic concepts about such systems. The introduction of such basic properties and differences are presented in the article. We postulate the humanity evolution, dynamic of social and political systems, biosphere of Earth, the human organism and his functional systems and many other systems (Universe at all) have all five such properties and must be described according to special synergetic paradigm. Now the authors presents all these special properties and the special table where the differences between deterministic-stochastic systems (and its theoretical approaches) and the synergetic systems (complexity, self-organization systems) were presented more conveniently.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Eskov, V. , Eskov, V. , Filatova, O. and Filatov, M. (2012) Two types of systems and three types of paradigms in systems philosophy and system science. Journal of Biomedical Science and Engineering, 5, 602-607. doi: 10.4236/jbise.2012.510075.

References

[1] Weaver, W. Science and Complexity. Rokfeller Foundation, New York City // American Scientist. 1948, 36, 536-544.
[2] Eskov, V.M. Third paradigm. Samara. Ofort. 2011. 240 P.
[3] Ebeling, W., Erdmann, U., Dunkel, J., Jenssen, M. Nonlinear dynamics and fluctuations of dissipative Toda chains // J. Stat. Phys. 2000. 101, 443-457.
[4] Haken, H. Principles of brain functioning: a synergetic approach to brain activity, behavior and cognition (Springer series in synergetics). Springer, 1995. 349 p.
[5] Mainzer, K. Thinking in complexity : the computational dynamics of matter, mind and mankind. New York, Berlin. Springer. 2007. 482 p.
[6] Bertalanffy, L.v. An outline of general system theory // British journal for philosophy of science. 1950, 2, 134-165
[7] Wallerstein, I. The end of the world as we know it: social science for the twenty-first century. Minneapolis, MN: University of Minnesota Press. 1999. 277 p.
[8] Prigogine, I.R. The Die Is Not Cast // Futures. Bulletin of the World Futures Studies Federation. 25, January 2000. 17-19.
[9] Taleb, N. The black swan: the imact of the highly impropable / Random House; New York, 2007, 401 p.
[10] Eskov, V.M. Models of hierarchical respiratory neuron networks // Neurocomputing. 1996, 11, 203-226.
[11] Eskov, V.M., Eskov, V.V., Filatova, O.E. Characteristic features of measurements and modeling for biosystems in phase spaces of states // Measurement Techniques (Medical and Biological Measurements). 2011, 53, 1404-1410.
[12] Eskov, V.M., Eskov, V.V., Braginskii, M.Ya., Pashnin, A.S. Determination of the degree of synergism of the human cardiorespiratory system under conditions of physical effort // Measurement Techniques (Medical and Biological Measurements). 2011, 54, 832-837.

  
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