Skip to main content

Towards a Bayesian Theory of Self-Organization, Societal Evolution, Creativity, and the Role of Randomizers in the Societal Evolution

  • Chapter
Evolution and Progress in Democracies

Part of the book series: Theory and Decision Library ((TDLA,volume 31))

Abstract

Social Darwinism, the well-known application of Darwin’s theory to explain societal evolution, became discredited because it restricted the complex societal, multicausal evolution exclusively to natural, external selection, adaptation, or, in the words of game theory: to solutions of competitive conflicts between individual interests. According to Dennett (Dennett 1991: 17–28, 520), there looms behind Darwin’s book The origin of species “Darwin’s cultural, most dangerous idea” of evolution as the only creative process we know so far. In this century, this idea received more and more attention; it has greatly enhanced our present understanding of societal evolution. The idea’s dangerous and revolutionary implications are that it proved scientifically and successfully that evolution is not only the creation or self-organization of species but of all physical and chemical forms of matter, of all forms of life, of the human brain, and of its enormous creativity within human societies, cultures, sciences. This idea returned the problem of evolution to the central issue that scientists have been avoiding for too long, to the problem of self-organization and creation. Self-organization begins with the self-organizational processes of physical, chemical-prebiontic, and genetic evolution; it ends with the creativity of the human brain during societal evolution. Especially the coevolution of the evolution of the human brain and of societal evolution in today’s democratic societies is taken seriously by evolutionists and brain physiologists. It will be the main topic of this article because it fostered an increase of human creativity in the twentieth century never known before. Some hypotheses on the dynamic of the sensory and cognitive processing in the brain put forth by the group around Basar will be used in this article.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover 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

  • Anthony, M. and Bigs, N. (1992), Computational Learning Theory: An Introduction,Cambridge. Arthur, W. B. (1999), “Complexity and the Economy”, in: Science,Vol. 284.

    Google Scholar 

  • W. B. (1999), “Complexity and the Economy”, in: Science,Vol. 284.

    Google Scholar 

  • Axelrod, R. (1984), The Evolution of Cooperation,New York.

    Google Scholar 

  • Bak, P. (1996), How Nature Works,New York.

    Google Scholar 

  • Barrow, J. D. and Tipler, F. (1986), The Anthropic Principle,Oxford.

    Google Scholar 

  • Basar, E. (1980), EEG-Brain Dynamics,Amsterdam.

    Google Scholar 

  • Basar, E. (ed.) (1988), Dynamics of Sensory and Cognitive Processing by the Brain,Berlin. Boden, M. A. (1990), The Creative Mind: Myths and Mechanisms,London.

    Google Scholar 

  • Bunge, M. (1980), The Mind-Body Problem,Oxford.

    Google Scholar 

  • Chalmers, D. J. (1996), The Conscious Mind,New York.

    Google Scholar 

  • Churchland, P. S. (1989), Neurophilosophv,Cambridge.

    Google Scholar 

  • Damasio, A. (1999), The Feeling of what happens,New York.

    Google Scholar 

  • Damasio, A. (1994), Decartes Error,New York.

    Google Scholar 

  • Dennett, D. C. (1995), Consciousness Explained,Boston.

    Google Scholar 

  • Dennett, D. C. (1995), Darwin’s Dangerous Ideas: Evolution and the Meanings of Life,New York..

    Google Scholar 

  • Eccles, J. (1989), Evolution of the Brain: Creation of the Self London.

    Google Scholar 

  • Eigen, M. and Schuster, P. (1979), The Hypercycle: A Principle of Natural Self-Organization,Berlin.

    Google Scholar 

  • Friedman, W. J. (1986), Game Theory with Applications to Economics,New York.

    Google Scholar 

  • Feigenbaum, J. M. (1978), “Quantitative Universality for a Class of Nonlinear Transformations”, in: bourn. of Stat. Physics, Vol. 19.

    Google Scholar 

  • Freeman W. J. (1988), “Nonlinear Neural Dynamics in Olfaction as a Model for Cognition”, in: Basar, 1988.

    Google Scholar 

  • Freeman W. J. (1980), “A Watershed in the Study of Nonlinear Neural Dynamics”, in: Basar, 1988.

    Google Scholar 

  • Gould, St. (1989), Wonderful Life,New York.

    Google Scholar 

  • Götschl, J. (ed.) (1993), Revolutionary Changes in Understanding Man and Society. Dordrecht. Götschl, J. (1997), “Self-organization: epistemological and methodological aspects of the unity of reality”, in: Mariani, 1997.

    Google Scholar 

  • Götschl, J. (1988), “Wissenschaftlicher Fortschritt und Bedingungen für Humanitätsgewinn”, in: Zeitschrift für Wissenschaftsforschung, Vol. 4.

    Google Scholar 

  • Guth, A. (1997), The Inflationary Universe,Reading.

    Google Scholar 

  • Güth, W. (1992), Spieltheorie und ökonomische (Bei)Spiele,Berlin.

    Google Scholar 

  • Haller, R. and Stadler, F. (eds.) (1988), Ernst Mach: Werk und Wirkung,. Wien.

    Google Scholar 

  • Hawking, St. (1993), Black Holes and Baby Universes,New York.

    Google Scholar 

  • Helbing, D. (1995), Quantitative Sociodynamics,Dordrecht.

    Google Scholar 

  • Holland, J. H. (1992), Adaptation in Natural and Artificial Systems,Cambridge.

    Google Scholar 

  • Holland, J. H. (1995), Hidden Order. Reading,Massachusetts.

    Google Scholar 

  • Kauffman, St. (1993), The Origins of Order, New York. Kodex des Österreichischen Rechts (1995), Wien.

    Google Scholar 

  • Kratky, K. (ed.) (1989), Systemtheorie und Reduktionismus,Wien.

    Google Scholar 

  • Leinfellner, E. (1992), Semantische Netze und Textzusammenhang,Frankfurt.

    Google Scholar 

  • Leinfellner, E. (1994a), “Die Negation im monologischen Text: Textzusammenhang und ‘Foregrounding”’, in: Folia Linguistica, Vol. 25.

    Google Scholar 

  • Leinfellner, E. (1994b), “The Broader Perspective of Negation”, in: Journal of Literary Semantics, Vol. 23.

    Google Scholar 

  • Leinfellner, E. (1999a), “Rules with Loopholes: A Bayesian Model of Text Evolution”, in press. Leinfellner, E. (1999b), “Der literarische Text als linguistisches und sozialwissenschaftliches Datum: ein adaptives evolutionäres Modell”, in press.

    Google Scholar 

  • Leinfellner, W. (1984), “Evolutionary Causality and Theory of Games”, in: Wuketits, 1984. Leinfellner, W. (1985), “Reconstruction of Schlick’s Psychosociological Ethics”, in: Synthese, Vol. 64.

    Google Scholar 

  • Leinfellner, W. (1988a), “The Brain-Wave Model as a Protosemantic Model”, in: Basar, 1998. Leinfellner, W.(1988b), “Physiologie und Psychologie: Ernst Machs ‘Analyse der Empfindungen’, in: Haller and Stadler, 1988.

    Google Scholar 

  • Leinfellner, W. (1989), “Holismus, Reduktionismus und die Theorie dynamischer Systeme”, in: Kratky, 1989.

    Google Scholar 

  • Leinfellner, W. (1993), “Ein Plädoyer für die Evolutionäre und die Sozialethik”, in: Lüttersfeld, 1993.

    Google Scholar 

  • Leinfellner, W. (1995), “Soziale Intelligenz und Rationalität”, in: Zeitschrift für Wissenschaftsforschung, Vol. 9/10.

    Google Scholar 

  • Leinfellner, W. (ed.). (1997a), Evolution and Decision,Wien.

    Google Scholar 

  • Leinfellner, W. (1997b), “Empiristische Bemerkungen zu Harsanyis Modell ‘Games with

    Google Scholar 

  • Incomplete Information’, in: Zeitschrift für Wissenschaftsforschung,Vol. 11/12. Leinfellner, W. and Köhler, E. (eds) (1998), Game Theory, Experience, Rationality,Dordrecht. Lumsden, Ch. J. and Wilson E. O. (1981), Genes, Mind, and Culture,Cambridge.

    Google Scholar 

  • Lütterfelds, W. (ed.) (1993), Evolutionäre Ethik zwischen Naturalismus und Idealismus,Darmstadt.

    Google Scholar 

  • Machina, M.J. (1987), “Expected Utility, analysis without the independence axiom”, in: Econometriea 50.

    Google Scholar 

  • Monod, J. (1970), Le Hasard et la nécessité,Paris.

    Google Scholar 

  • Munier, B. (1988), Risk, Decision and Rationality,Dordrecht.

    Google Scholar 

  • McClennen, E. F. (1998), “Rethinking Rational Cooperation” in: Leinfellner and Köhler, 1998. Penrose, R. (1994), Shadows of the Mind, Oxford.

    Google Scholar 

  • Pinker, St. (1998), Wie das Denken im Kopf entsteht,München.

    Google Scholar 

  • Popper, K. (1994), Alles Leben ist Problemlösen,München.

    Google Scholar 

  • Popper, K. and Eccles, J. C. (1997), The Self and its Brain,Berlin.

    Google Scholar 

  • Prigogine, 1. (1982), Vom Sein zum Werden,München.

    Google Scholar 

  • Ruelle D. (1991), Chance and Chaos,Princeton.

    Google Scholar 

  • Searle, J. R. (1980), Minds, Brains and Programs,Cambridge.

    Google Scholar 

  • Searle, J. R. (1990), The Rediscovery of the Mind,Cambridge.

    Google Scholar 

  • Selten, R. (1998), “Game Theory, Experience, Rationality”, in: Leinfellner and Köhler, 1998. Sen, A. (1970), Collective Choice and Social Welfare, London.

    Google Scholar 

  • Sen, A. (1994), On Ethics and Economics,Cambridge.

    Google Scholar 

  • Simon, H. (1995), “The Theory of Scientific Discovery”, in: Götschl, 1995.

    Google Scholar 

  • Schuster, P. (1983), “Replicator Dynamics”, in: J. Theor. Biol., Vol. 100.

    Google Scholar 

  • Schuster, P. Hofbauer, J. and Sigmund, K. (1979), “A Note on Evolutionary Stable Strategies and Game Dynamics”, in: J. Theor. Biology, Vol. 81.

    Google Scholar 

  • Smith, J. M. (1982), Evolution and the Theory of Games,Cambridge.

    Google Scholar 

  • Sigmund, K. (1993), Games of Life,New York.

    Google Scholar 

  • Tulving, E. (1983), Elements of Episodic Memory,New York.

    Google Scholar 

  • Weibull, J. W. Evolutionary Game Theory,Cambridge.

    Google Scholar 

  • Wu, G. (1999), “Anxiety and Decision Making with delayed Resolution of Uncertainty”, in: Theory and Decision 46.

    Google Scholar 

  • Wilson, E. O. (1998), Consilience,New York.

    Google Scholar 

  • Wuketits, F. M. (ed.) (1984), Concepts and Approaches in Evolutionary Epistemology,Dordrecht. Wuketits, F. M. (1993), Verdammt zur Unmoral?,Munchen.

    Google Scholar 

  • Wuketits, F. M. (1997), Soziobiologie,Heidelberg.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Leinfellner, W. (2001). Towards a Bayesian Theory of Self-Organization, Societal Evolution, Creativity, and the Role of Randomizers in the Societal Evolution. In: Götschl, J. (eds) Evolution and Progress in Democracies. Theory and Decision Library, vol 31. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1504-1_11

Download citation

  • DOI: https://doi.org/10.1007/978-94-017-1504-1_11

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5842-3

  • Online ISBN: 978-94-017-1504-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics