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Selbstorganisation in Netzwerken – von den Neurowissenschaften zur Systembiologie

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Selbstorganisation – ein Paradigma für die Humanwissenschaften

Zusammenfassung

Die Theorie der Selbstorganisation ist ein theoretisches Konzept, das als Fundament unseres Verständnisses komplexer Systeme dient (Mikhailov und Calenbuhr 2002; Hütt 2006). In seiner allgemeinsten Form kann ein komplexes System als ein System aus vielen interagierenden Elementen verstanden werden, deren individuelle Dynamik nicht linear ist (bei denen also das Eingabe- und das Ausgabesignal nicht in linearer Weise in Verbindung stehen) und das zudem kollektives Verhalten zu zeigen vermag. Oft entsteht dieses kollektive Verhalten in einem komplexen System spontan, es ’emergiert’, wenn ein kritischer Wert eines Kontrollparameters (zum Beispiel der Kopplungsstärke) überschritten wird.

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Authors and Affiliations

  1. Computational Systems Biology, Jacobs University Bremen, Bremen, Deutschland

    Marc-Thorsten Hütt

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  1. Marc-Thorsten Hütt
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Correspondence to Marc-Thorsten Hütt .

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Editors and Affiliations

  1. Institut für Synergetik und Psychotherapieforschung, Paracelsus Medizinische Privatuniversität Universitätsklinik für Psychiatrie, Psychotherapie und Psychosomatik, Salzburg, Salzburg, Austria

    Kathrin Viol

  2. Institut für Synergetik und Psychotherapieforschung, Paracelsus Medizinische Privatuniversität Universitätsklinik für Psychiatrie, Psychotherapie und Psychosomatik, Salzburg, Salzburg, Austria

    Helmut Schöller

  3. Institut für Synergetik und Psychotherapieforschung, Paracelsus Medizinische Privatuniversität Universitätsklinik für Psychiatrie, Psychotherapie und Psychosomatik, Salzburg, Salzburg, Austria

    Wolfgang Aichhorn

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Hütt, MT. (2020). Selbstorganisation in Netzwerken – von den Neurowissenschaften zur Systembiologie. In: Viol, K., Schöller, H., Aichhorn, W. (eds) Selbstorganisation – ein Paradigma für die Humanwissenschaften. Springer, Wiesbaden. https://doi.org/10.1007/978-3-658-29906-4_12

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