Cooperation and Self-organized Criticality for Studying Economic Crises

  • Andrei Sîrghi
  • D. Dumitrescu
Part of the Studies in Computational Intelligence book series (SCI, volume 387)


The economics appears to have not paid the required attention and research effort for understanding the destructive phenomena in economic systems. Relying on various widely accepted models and theories that practically avoid the occurrence of failures, depressions, crises and crashes the economic science is incomplete and clearly needs a major reorientation and a change of focus from the deterministic to the holistic perspective.

The causes of unpredictable behaviour in economic systems are investigated and the solutions that can prevent these phenomena are searched for. A new economic model inspired by the paradigm of complex systems based on a connective structure is introduced. Interesting complex behaviour emerges from the simple interactions between the agents. A new, unconventional, cause for economic crises is identified and described.


Economic System Economic Good Economic Science Domino Effect Distribution Chain 
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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  1. 1.
    Akerlof, G.A., Shiller, R.J.: Animal Spirits, How Human Psychology Drives the Economy and Why it Matters for Global Capitalism. Princeton, New Jersey (2009)Google Scholar
  2. 2.
    Delorme, R.: Theorising Complexity. In: International Workshop on the Evolution and Development of Evolutionary Economics, University of Queensland, Brisbane (1999)Google Scholar
  3. 3.
    Miller, J.H., Scott, E.: Complex Adaptive Systems: An Introduction to Computational Models of Social Life. Princeton U. Press, Princeton (2007)zbMATHGoogle Scholar
  4. 4.
    Holland, J.: Hidden Order: How Adaptation Builds Complexity. Addison-Wesley, Massachusetts (1995)Google Scholar
  5. 5.
    Ashby, W.R.: Principles of the self-organizing system. In: Principles of Self-Organization: Transactions of the University of Illinois Symposium, pp. 255–278. Pergamon Press, London (1962)Google Scholar
  6. 6.
    Bak, P.: How Nature Works: The Science of Self-Organised Criticality. Copernicus Press, New York (1996)Google Scholar
  7. 7.
    Barabási, A.L.: Linked - The New Science of Networks. Perseus Publishing, Cambridge (2002)Google Scholar
  8. 8.
    Roubini, N., Mihm, S.: Crisis economics: a crash course in the future of finance. Penguin Press (2010)Google Scholar
  9. 9.
    Krugman, P.R.: The return of depression economics and the crisis of 2008. W.W. Norton, New York (2009)Google Scholar
  10. 10.
    Schumpeter, J.A.: Business Cycles: A theoretical, Historical and Statistical Analysis of the Capitalist Process. McGraw-Hill, New York (1939)Google Scholar
  11. 11.
    Dopfer, K.: The Origins of Meso Economics, Schumpeter’s Legacy, Evolutionary Economics Group, Jena (2006)Google Scholar
  12. 12.
    Foster, J.: From Simplistic to Complex Systems in Economics. Cambridge Journal of Economics 29(6), 873–892 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Andrei Sîrghi
    • 1
  • D. Dumitrescu
    • 1
  1. 1.Centre for the Study of ComplexityBabes-Bolyai UniversityCluj-NapocaRomania

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