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On Self-Organization pp 5–34Cite as

Self-Organization in Evolution, Immune Systems, Economics, Neural Nets, and Brains

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Part of the book series: Springer Series in Synergetics ((SSSYN,volume 61))

Abstract

Self-organization is creation without a creator attending to details. More precisely: the formation of patterns and structures that form from the initial state, without intervention, in a dynamical system, or through the interaction of finite state automata. The term self-organization is also applied to supervised learning by neural nets, and to genetic algorithms [1, 2, 3].

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Authors
  1. Hans J. Bremermann
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Editor information

Editors and Affiliations

  1. All-India-Institute of Medical Sciences, New Delhi, 110029, India

    R. K. Mishra

  2. Department of Computer Science, University of Kaiserslautern, Pfaffenbergstrasse, Gebäude 32, D-67618, Kaiserslautern, Germany

    D. Maaß

  3. Department of Social Sciences, Economics and Engineering, University of Kaiserslautern, Pfaffenbergstrasse, Gebäude 3, D-67618, Kaiserslautern, Germany

    E. Zwierlein

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© 1994 Springer-Verlag Berlin Heidelberg

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Bremermann, H.J. (1994). Self-Organization in Evolution, Immune Systems, Economics, Neural Nets, and Brains. In: Mishra, R.K., Maaß, D., Zwierlein, E. (eds) On Self-Organization. Springer Series in Synergetics, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45726-5_2

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  • DOI: https://doi.org/10.1007/978-3-642-45726-5_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-45728-9

  • Online ISBN: 978-3-642-45726-5

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