Reprint

Complexity Science in Human Change

Research, Models, Clinical Applications

Edited by
January 2023
248 pages
  • ISBN978-3-0365-6219-3 (Hardback)
  • ISBN978-3-0365-6220-9 (PDF)

This is a Reprint of the Special Issue Complexity Science in Human Change: Research, Models, Clinical Applications that was published in

Chemistry & Materials Science
Computer Science & Mathematics
Physical Sciences
Summary

This reprint encompasses fourteen contributions that offer avenues towards a better understanding of complex systems in human behavior. The phenomena studied here are generally pattern formation processes that originate in social interaction and psychotherapy. Several accounts are also given of the coordination in body movements and in physiological, neuronal and linguistic processes. A common denominator of such pattern formation is that complexity and entropy of the respective systems become reduced spontaneously, which is the hallmark of self-organization. The various methodological approaches of how to model such processes are presented in some detail. Results from the various methods are systematically compared and discussed. Among these approaches are algorithms for the quantification of synchrony by cross-correlational statistics, surrogate control procedures, recurrence mapping and network models.This volume offers an informative and sophisticated resource for scholars of human change, and as well for students at advanced levels, from graduate to post-doctoral. The reprint is multidisciplinary in nature, binding together the fields of medicine, psychology, physics, and neuroscience.

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