Dynamical systems therapy (DST): complex adaptive systems in psychiatry and psychotherapy

Professor Yakov Shapiro and Associate Professor J. Rowan Scott

Chapter 26 in Handbook of Research Methods in Complexity Science, 2018, pp 567-590 from Edward Elgar Publishing

Abstract: The synthesis of complexity and nonlinear science with evolutionary theory informs both functional neuroscience and psychotherapeutic exploration of conscious and unconscious processes. The nonlinear dynamical systems approach allows psychiatric practitioners to shift from categorical diagnostic and treatment algorithms to integrative process models of individual and group dynamics. Dynamical systems therapy (DST) represents a complexity derived application that conceptualizes individuals as Complex Adaptive Systems with emergent properties of subjective and cultural experience. It puts self-organization and flexible adaptation to changing environmental demands at the cornerstone of psychological health. Within the DST model, recurrent patterns of feeling, thinking and relating can be analysed by using modified fitness diagrams (adaptive A-landscapes), which integrate objective, subjective and intersubjective clinical data. This approach allows to chart the patient’s unique life trajectory through attractor/repellor configurations and reveals a paradigm shift from reductionism towards systemic psychobiology conceptualized as an integrative scientific perspective that incorporates emergent levels of psychobiological complexity.

Keywords: Business and Management; Geography; Innovations and Technology; Politics and Public Policy Research Methods; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2018
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