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      Modelling the Coevolution of Communications and Socio-economic Structure

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      research-article
      Prometheus
      Pluto Journals
      self-organisation, evolution, economic modeling, technological change, markets, communication
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            Abstract

            Economic modelling that employs ‘the complex systems’ approach shows that factors such as communication and diversity are vital to systematic function and evolution. A ‘complex systems’ model of market evolution is presented and discussed to illustrate these issues.

            Content

            Author and article information

            Journal
            cpro20
            CPRO
            Prometheus
            Critical Studies in Innovation
            Pluto Journals
            0810-9028
            1470-1030
            April 1997
            : 15
            : 1
            : 83-100
            Affiliations
            Article
            8632053 Prometheus, Vol. 15, No. 1, 1997: pp. 83–100
            10.1080/08109029708632053
            1a8a68f8-2a7c-4ea2-99c1-7af92e0007a9
            Copyright Taylor & Francis Group, LLC

            All content is freely available without charge to users or their institutions. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles in this journal without asking prior permission of the publisher or the author. Articles published in the journal are distributed under a http://creativecommons.org/licenses/by/4.0/.

            History
            Page count
            Figures: 0, Tables: 0, References: 12, Pages: 18
            Categories
            PAPERS

            Computer science,Arts,Social & Behavioral Sciences,Law,History,Economics
            communication,self-organisation,technological change,evolution,economic modeling,markets

            Notes and References

            1. Paper presented at the STEP Conference, 30 November-5 December, 1996, Department of Economics, University of Queensland, Australia.

            2. International Ecotechnology Research Centre, Cranfield Institute of Technology, Bedford, MK43 OAL, UK.

            3. I. Prigogine & I. Stengers, Order out of Chaos (New York, Bantam Books, 1987).

            4. P. M. Allen, Evolution: Why the Whole is Greater than the Sum of its Parts, Ecodynamics (Berlin, Springer Verlag, 1988).

            5. P. M. Allen, ‘Why the Future is Not What it Was’, Futures, July/August, 1990, pp. 555–570.

            6. Allen, op. cit, Ref. 4.

            7. P. M. Allen & J. McGlade, ‘The Modelling of Human Systems: A Fisheries Example’, European Journal of Operational Research, June 1987, pp. 147–167.

            8. Allen, op. cit., Ref. 4.

            9. Allen, op. cit., Ref. 5.

            10. P. M. Allen & J. M. McGlade, ‘Evolutionary Drive: The Effects of Microscopic Diversity, Error Making and Noise’, Foundations of Physics, 17, 7, 1987, pp. 723–728.

            11. P. M. Allen & J. M. McGlade, ‘Optimality, Adequacy and the Evolution of Complexity’, in: P. L. Christiansen & R. D. Parmentier (Eds), Structure, Coherence and Chaos in Dynamical Systems (Manchester, Manchester University Press, 1989).

            12. M. Eigen & P. Schuster, The Hypercycle (Berlin, Springer, 1979).

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