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Self-organization, human resilience and psychotherapy

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Selbstorganisation – ein Paradigma für die Humanwissenschaften

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Zusammenfassung

This chapter applies self-organization theory to human resilience and psychotherapy. Three broad classes of modeling are described: network modeling, topological approaches, and time-series analysis. Unique aspects and common features of each model is discussed, and empirical literature is reviewed, with a focus on how these various models contributes to a common theory of biopsychosocial resilience.

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Authors and Affiliations

  1. Department of Psychology, Chapman University, Orange, USA

    David Pincus

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  1. David Pincus
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Correspondence to David Pincus .

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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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© 2020 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Pincus, D. (2020). Self-organization, human resilience and psychotherapy. 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_9

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  • DOI: https://doi.org/10.1007/978-3-658-29906-4_9

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  • Publisher Name: Springer, Wiesbaden

  • Print ISBN: 978-3-658-29905-7

  • Online ISBN: 978-3-658-29906-4

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