Skip to main content

Evolutionary Complex Systems: The Self-Organization of Communities

  • Conference paper
Complexity and Self-Organization in Social and Economic Systems

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 449))

Abstract

Any mathematical models of human systems that consist of deterministic, mechanical equations are only temporary representations of the structure and organisation present in the system at a particular time. In fact, the structure and organization of the system in question changes qualitatively over time, as the components and interaction mechanisms emerge and change through time. This paper addresses the mathematical modelling of the over-arching process which leads to the emergence and evolution of “ecologies” of interacting entities that make up socio-economic systems. It describes the underlying processes that change the taxonomy of a system, and through which new behaviours and challenges emerge in the system. These changes are essentially unpredictable, as is the expected time of stability of any existing structure and taxonomy. Sustainability and wisdom are therefore shown to lie in the maintenance of the capacity for adaptation and change, rather than in the efficiency of any particular temporarily fixed system. Several applications of these ideas are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Allen P.M. 1984, Self-Organization and Evolution in Urban Systems in Cities and Regions as Non-linear Decision Systems, AAAS Selected Symposiua, 77, Ed. R. Crosby. Westview Press, Boulder Colorado.

    Google Scholar 

  • Allen P.M., 1988 Evolution: Why the Whole is greater than the sum of its parts, in Ecodynamics, Soeder & Drepper Springer Verlag, Berlin.

    Google Scholar 

  • Allen P.M. 1991, Fisheries: Models of learning and Uncertainty, in Pecheries Ouest Africaines, Variabilité, Instabilité et Changement, Eds Ph. Cury & Cl.Roy ORSTOM, Paris

    Google Scholar 

  • Allen P.M. 1994 Evolution, Sustainability and Industrial Metabolism, in Industrial Metabolism, Eds R. Ayer and U.E. Simonis, United nations University Press, Tokyo

    Google Scholar 

  • Allen P.M. and Lesser M., 1991, Evolutionary Human Systems: Learning, Ignorance and Subjectivity, in Evolutionary Theories of Economic and Technological Change, Eds P. Saviotti and S. Metcalfe, Harwood, Chur. Harwood, Chur, Switzerland

    Google Scholar 

  • Allen P.M. and McGlade J., 1987, The Modelling of Human Systems: A Fisheries Example, European Journal of Operational Research, June 1987

    Google Scholar 

  • Allen P.M. and M. Sanglier, 1979, Dynamic Model of growth in a Central Place System, Geographical Analysis, Vol 11, No 3.

    Google Scholar 

  • Allen P.M. and M. Sanglier, 1981, Urban Evolution, Self-Organization and Decision Making, Environment and Planning A.

    Google Scholar 

  • Allen P.M. and J.M. McGlade, 1987, Evolutionary Drive: The Effect of Microscopic Diversity, Error Making and Noise, Foundations of Physics, Vol.17, No.7, July. p723–728

    Article  Google Scholar 

  • Anderson P.W. Arrow K.J. and Pines D. 1988, Eds. The Economy as a Complex Evolving System, Reading, Addison-Wesley

    Google Scholar 

  • Blank, S.C., 1991, Chaos in Futures Markets? A Nonlinear Dynamical Analysis, Journal of Futures Markets, 11:p711–728.

    Article  Google Scholar 

  • Chen, P., 1988, Empirical and Theoretical Evidence of Economic Chaos, System Dynamics Review 4.

    Google Scholar 

  • Clark N. and Juma C. 1987, Long-run Economics — An Evolutionary Approach to Economic Change, London, Pinter Publishers, Limited

    Google Scholar 

  • Day, R., 1983, The Emergence of Chaos from Classical Economic Growth, Quarterly Journal of Economics, 98:201–213.

    Article  Google Scholar 

  • Dosi G, Freeman C. Nelson R. Silverberg G. and Soete L. Eds, 1988, Technical Change and Economic Theory, Pinter, London.

    Google Scholar 

  • Eigen M. and Schuster P., 1979, The Hypercycle, Springer, Berlin.

    Book  Google Scholar 

  • Fama, E.F., 1979, Efficient Capital Markets: A Review of Theory and Empirical Work, Journal of Finance, 25:p383–423.

    Article  Google Scholar 

  • Goodwin R.M., 1951, The Non-Linear Accelerator and the persistence of Business Cycles, Econometrica, Vol.19.

    Google Scholar 

  • Goodwin R.M. Kruger M. & Vercelli, A. 1984, Nonlinear Models of Fluctuating Growth, Lecture Notes in Economics and Mathematical Systems, Vol.228, Berlin-Heidelberg-New York-Tokyo, Springer-Verlag.

    Google Scholar 

  • Grandmont, J.; Malgrange, P., 1986, Nonlinear Economic Dynamics: Introduction, Journal of Economic Theory 40.

    Google Scholar 

  • Haken H. 1977, Synergetics, in the Synergetics Series, Springer Verlag, Heidelberg.

    Google Scholar 

  • Hsieh, D.A., 1991, Chaos and Nonlinear Dynamics: Application to Financial Markets, The Journal of Finance, 66:p 1639–1877.

    Google Scholar 

  • Kesley, D., 1988, The Economics of Chaos or the Chaos of Economics, Oxford Economic Papers 40.

    Google Scholar 

  • Larrain, M., 1991, Empirical Tests of Chaotic Behaviour in a Nonlinear Interest Rate Model, Financial Analysts Journal, Sept-Oct, p 51–62.

    Google Scholar 

  • Lorenz H.W. 1989, Non-Linear Dynamical Economics and Chaotic Motion, Lecture Notes in Economics and Mathematical Systems, Vol.228, Berlin-Heidelberg-New York-Tokyo, Springer-Verlag.

    Google Scholar 

  • Marshall A., (1890/1927), Principles of Economics, 8th Edition, Macmillan, London.

    Google Scholar 

  • Murphy, John J., 1986, Techncial Analysis of the Futures Market, New York Institute of Finance, New York.

    Google Scholar 

  • Muth, J.F., 1961, Rational Expectations and the Theory of Price Movements, Econometrica, 29:p 315–335.

    Article  Google Scholar 

  • Nelson R.R and Winter S. G. 1982, An Evolutionary Theory of Economic Change, Cambridge, The Belknap Press of Harvard University press.

    Google Scholar 

  • Osborne, M.F.M., 1964, Brownian Motion in the Stock Market in P. Cootner, (ed.), “The Random Character of Stock Market Prices”, Cambridge, MA: M.I.T. Press. (Originally published in 1959)

    Google Scholar 

  • Peters, E., 1991a, A Chaotic Attractor for the S & P 500, Financial Analysts Journal.

    Google Scholar 

  • Peters, E., 1989, Fractal Structure in the Capital Markets, Financial Analysts Journal.

    Google Scholar 

  • Peters, E., 1991b, R/S Analysis using Logarithmic Returns: A Technical Note, Financial Analysts Journal

    Google Scholar 

  • Prigogine I. and I. Stengers, 1987, Order out of Chaos, Bantam Books, New York

    Google Scholar 

  • Sanglier M. and P.M. Allen, 1989, Evolutionary Models of Urban Systems: an Application to the Belgian Provinces, Environment and Planning, A, Vol.21. p477–498.

    Article  Google Scholar 

  • Saviotti P. 1991, The role of variety in economic and technological development, in Evolutionary Theories of Economic and Technological Change, Eds P. Saviotti and S. Metcalfe, Harwood, Chur.

    Google Scholar 

  • Saviotti P and Metcalfe J., 1991 Present developments and trends in Evolutionary Economics, in Evolutionary Theories of Economic and Technological Change, Eds P. Saviotti and S. Metcalfe, Harwood, Chur.

    Google Scholar 

  • Savit, R., 1988, When Random is Not Random: An Introduction to Chaos in Market Prices, The Journal of Futures Markets, 8:p 271–289.

    Article  Google Scholar 

  • Savit, R., 1989, Nonlinearities and Chaotic Effects in Options Prices, The Journal of Futures Markets, 9:p 507–518.

    Article  Google Scholar 

  • Scheinkman, J.; LeBaron, B., 1989, Nonlinear Dynamics and Stock Returns, Journal of Business, 62:p 311–337.

    Article  Google Scholar 

  • Schumpeter J., 1934, The Theory of Economic Development, Harvard University Press, Cambridge, Massachusetts.

    Google Scholar 

  • Silverberg G., Dosi G. and Orsenigo L., Innovation, Diversity and Diffusion: A Self-Organization Model, The Economic Journal, Vol 98 p 1032–1054

    Google Scholar 

  • Soros, George, 1988, The Alchemy of Finance, Weidenfeld and Nicolson, London.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Allen, P.M. (1997). Evolutionary Complex Systems: The Self-Organization of Communities. In: Fang, F., Sanglier, M. (eds) Complexity and Self-Organization in Social and Economic Systems. Lecture Notes in Economics and Mathematical Systems, vol 449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-48406-3_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-48406-3_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62400-4

  • Online ISBN: 978-3-642-48406-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics