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New Problems for an Old Brain - Synergetics, Cognition and Evolutionary Epistemology

  • Gerhard Vollmer
Part of the Springer Series in Synergetics book series (SSSYN, volume 22)

Abstract

Synergetics investigates the behavior of complex systems consisting of many interacting subsystems. It studies systemic properties such as cooperative behavior, competition, self-organization, instabilities, phase transitions at critical points, bifurcation, and symmetry breaking. Having grown from theoretical physics, notably from laser theory, it is developing into a new comprehensive discipline which connects several previously independent fields of research.

Keywords

Factual Knowledge Objective Knowledge Medium Dimension Elementary Particle Physic Physical Discipline 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    W. McCulloch, W. Pitts: “A Logical Calculus of the Ideas Immanent in Nervous Activity”, Bull. Math. Biophysics 5, 115–133 (1943)MathSciNetzbMATHCrossRefGoogle Scholar
  2. 2.
    N. Rashevsky: Mathematical Biophysics, vol.11 (Dover, New York 31960), ch.XXGoogle Scholar
  3. 3.
    S. Papert: Mindstorms. Children, Computers, and Powerful Ideas (Harvester, Brighton 1980) ch.16Google Scholar
  4. 4.
    H. Haken: Erfolgsgeheimnisse der Natur (Deutsche Verlagsanstalt, Stuttgart 1981),Google Scholar
  5. 5.
    K.R. Popper: Objective Knowledge. An Evolutionary Approach (Clarendon, Oxford 1972), ch.IIGoogle Scholar
  6. 6.
    S. Toulmin: “The Evolutionary Development of Natural Science”, Am. Scientist 55, 456–471 (1967); Foresight and Understanding. An Enquiry into the Aims of Science (Hutchinson, London 1961), ch.6; Human Understanding (Princeton University Press 1972 )Google Scholar
  7. 7.
    For an introduction to evolutionary epistemology see G. Vollmer: Evolutionäre Erkenntnistheorie (Hirzel, Stuttgart 31981); “Mesocosm and Objective Knowledge. On Problems Solved by Evolutionary Epistemology”, in F.M. Wuketits (ed.): Concepts and Approaches in Evolutionary Epistemology ( Reidel, Dordrecht 1983 ), pp. 69–121.Google Scholar
  8. 8.
    G.G. Simpson: “Biology and the Nature of Science”, Science 139, 81–88 (1963),p. 84Google Scholar
  9. 9.
    An introduction is given by N. Pippenger: “Complexity Theory”, Sci.Am. 238, 90–100 (June 1978).Google Scholar
  10. 10.
    G.J. Chaitin: “Randomness and Mathematical Proof”, Sci. Am. 232, 47–52 (May 1975)CrossRefGoogle Scholar
  11. 11.
    This point is made by H.A. Simon: The Sciences of the Artificial (MIT Press, Cambridge/London 1969, 2 1981 ) pp. 219–222Google Scholar
  12. 12.
    Cf. G. Vollmer: “The Unity of Science in an Evolutionary Perspective”, Twelfth Int. Conf. on the Unity of the Sciences, Chicago 1983 (to be published)Google Scholar
  13. 13.
    Such case studies are made in G. Vollmer: “Das alte Gehirn und die neuen Proble-me - Aspekte und Folgerungen einer Evolutionären Erkenntnistheorie”, in M. Horvat (Hrsg.): Das Phänomen Evolution ( Literas-Verlag, Wien 1984 )Google Scholar
  14. 14.
    That the impetus theory is a mesocosmic or intuitive theory of motion is shown in M. McCloskey: “intuitive Phvsics”, Sci.Am. 248,114–122(April 1983 )Google Scholar
  15. 15.
    For the question whether physics, or science in general, can be brought to an end, see G. Feinberg: “Physics and the Thaies Problem”, J. Philosophy 63, 5–17 (1966); G.S. Stent: Paradoxes of Progress (Freeman, San Francisco 1978), esp. pp. 47–58; S.W. Hawking: Is the End in Sight for Theoretical Physics? Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1984

Authors and Affiliations

  • Gerhard Vollmer
    • 1
  1. 1.Zentrum für Philosophie und Grundlagen der WissenschaftJustus-Liebig-UniversitätGiessenFed. Rep. of Germany

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