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Complexity Regulation Competencies: A Naturalistic Framework.

Michael Kimmel¹

¹Cognitive Science Hub, University of Vienna, Austria.

Nonlinear Dynamics, Psychology, and Life Sciences

|January 1, 2022

Summary

Expert regulation of complex adaptive systems (CAS) involves distinct competencies for facilitating self-organization. This framework details how professionals master dynamic decision-making in evolving systems.

Area of Science:

Interdisciplinary science
Systems theory
Expertise studies

Background:

Complex adaptive systems (CAS) exhibit nonlinear and multi-causal dynamics.
Naive regulators often struggle with CAS, while expert regulation remains less understood.

Purpose of the Study:

To present a framework describing expert regulation of complex adaptive systems (CAS).
To identify key competencies distinguishing expert performance in CAS regulation.

Main Methods:

Conceptual framework development.
Analysis of expert competencies including sensitivities, mediating interfaces, interaction skills, domain knowledge, analogical reasoning, and meta-regulative capabilities.
Case illustrations from somatic therapies (Shiatsu, Feldenkrais).

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Main Results:

Expert CAS regulation requires a distinct set of competencies beyond basic sensitivities.
These competencies include creating interfaces, interaction skills, domain knowledge, analogical reasoning, and synoptic/meta-regulative abilities.
CAS regulation tools can synergize, amplifying their effectiveness.

Conclusions:

The proposed framework elucidates the multifaceted nature of expert CAS regulation.
Distinct competencies enable experts to effectively facilitate and constrain CAS self-organization.
The framework is applicable across diverse contexts, including somatic therapies.