Complexity Regulation Competencies: A Naturalistic Framework

Nonlinear Dynamics Psychol Life Sci. 2022 Jan;26(1):45-79.

Abstract

This article presents a framework to describe how professional experts regulate complex adaptive systems (CAS), a skill found across bio-psychological, ecological, technical, and social contexts. The regulation aim is to facilitate and constrain the self-organization of a CAS; regulators engage in dynamic decision making while the system evolves. While many naive regulators are overtaxed when they encounter nonlinear and multi-causal dynamics, less is known about how experts perform. I argue that a rich set of competencies can make expert performance distinctive. The basic sensitivities for CAS that shape the general philosophy of practice and a role identity as process facilitators provide some foundation. Turning this into an applied skill set, however, additionally requires (a) the creation of mediating interfaces with a 'target' CAS, (b) interaction skills for exploring and stimulating the CAS, (c) the use of domain knowledge about the system's nature and structure for conceptualizing its state as well as dynamics, (d) the use of analogical reasoning, categories, heuristics, and models to make 'if-then' inferences from systemic problem constellations to holistic strategies, and (e) synoptic and meta-regulative capabilities that allow supervising the mix of deployed resources relative to the demands of ongoing task. These CAS regulation tools mesh in variable ways and can mutually amplify each other, i.e. synergize. Illustrations for the framework come from two somatic therapies (aka bodywork), the Shiatsu and Feldenkrais methods, in which therapists use manual techniques as a regulatory means to help their clients.

MeSH terms

  • Humans
  • Knowledge*
  • Problem Solving*