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Towards a Post-Keplerian social science: Comments by P. Érdi on the Visioneer white papers by D. Helbing and S. Balietti

  • P. ÉrdiEmail author
Regular Article

Abstract.

This article comments on the Visioneer (Envisioning a Socio Economic Knowledge Collider) Project as described in the following white papers [1–3].

Keywords

European Physical Journal Special Topic Stock Market Crash Computational Social Science Integrative System Design Simple Algebraic Relation 
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.
    D. Helbing, S. Balietti, From Social Data Mining to Forecasting Socio-Economic Crises. Eur. Phys. J. Special Topics 195, 3 (2011)CrossRefADSGoogle Scholar
  2. 2.
    D. Helbing, S. Balietti, From Social Simulation to Integrative System Design. Eur. Phys. J. Special Topics 195, 69 (2011)CrossRefADSGoogle Scholar
  3. 3.
    D. Helbing, S. Balietti, How to Create an Innovation Accelerator. Eur. Phys. J. Special Topics 195, 101 (2011)CrossRefADSGoogle Scholar
  4. 4.
    A. Koestler, Bricks to Babel (Random House, New York, 1980)Google Scholar
  5. 5.
    A. Koestler, The Sleepwalkers: A History of Man’s Changing Vision of the Universe (Penguin Books, London, 1959)Google Scholar
  6. 6.
    N. Wiener, Cybernetics: Or Control and Communication in the Animal and the Machine (MIT Press, Cambridge, 1948)Google Scholar
  7. 7.
    N. Wiener, The human use of human beings: Cybernetics and society (Houghton Mifflin, Boston, 1954)Google Scholar
  8. 8.
    A. Einstein, Isasc Newton. Smithonian Annual Report (1927)Google Scholar
  9. 9.
    E.W. Montroll, Proc. Natl. Acad. Sci. USA 75, 4633 (1978)MathSciNetADSzbMATHCrossRefGoogle Scholar
  10. 10.
    D. Helbing, Quantitative Sociodynamics. Stochastic Methods and Models of Social Interaction Processes (Kluwer Academic, Dordrecht, 1995)Google Scholar
  11. 11.
    W. Weidlich, Sociodynamics: A Systematic Approach to Mathematical Modelling in the Social Sciences (Springer Verlag, Berlin-Heidelberg, 2002)Google Scholar
  12. 12.
    W. Weidlich, Evolution. Institut. Econom. Rev. 2, 161 (2006)Google Scholar
  13. 13.
    P. Érdi, Evolution. Institut. Econom. Rev. 7, 21 (2010)Google Scholar
  14. 14.
    K. Mainzer, Thinking in Complexity the Computational Dynamics of Matter, Mind, and Mankind (Springer Verlag, Berlin-Heidelberg, 2007)Google Scholar
  15. 15.
    P. Érdi, Complexity Explained (Springer Verlag, Berlin-Heidelberg, 2007)Google Scholar
  16. 16.
    D. Sornette, Why Stock Markets Crash: Critical Events in Complex Financial Systems (Princetion Univ. Press, 2003)Google Scholar
  17. 17.
    S. Albeverio, V. Jentsch, H. Kantz (eds.), Extreme Events in Nature and Society (Springer, Berlin/Heidelberg/New York, 2006)Google Scholar
  18. 18.
    G. Soros, The Age of Fallibility: Consequences of the War on Terror, PublicAffairs (New York, 2006)Google Scholar

Copyright information

© EDP Sciences and Springer 2011

Authors and Affiliations

  1. 1.Center for Complex Systems Studies, Kalamazoo CollegeKalamazooUSA
  2. 2.Department of BiophysicsKFKI Res. Inst. Nuclear and Particle Physics, Hungarian Academy of SciencesBudapestHungary

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