Dynamical Systems Principles Underlying Resistance, Resilience, and Growth.

Area of Science:

• Psychology
• Dynamical Systems Theory
• Complex Systems

Background:

• Resilience traditionally encompasses resisting, bouncing back, and growing from stressors.
• Recent literature highlights these as distinct processes, with 'bouncing back' closest to resilience's core meaning.
• Existing analysis strategies for stressor responses lack deeper theoretical explanations.

Purpose of the Study:

• Propose a coherent framework for understanding stressor responses using a dynamical systems approach.
• Differentiate theoretically and empirically between resistance, resilience, and growth.
• Provide a foundation for future theoretical models, empirical measurements, and interventions.

Main Methods:

• Utilize a dynamical systems approach to model stressor adaptation.
• Analyze stressor responses through the lens of attractor dynamics (fixed points, limit cycles, strange attractors).
• Examine interactions across multiple levels of organization and time scales.

Main Results:

• Stressor adaptation emerges from complex, multi-level interactions unfolding over different time scales.
• Resistance at macro scales may represent bouncing back at faster micro scales.
• Attractor dynamics (fixed-point, limit cycle, strange attractors) explain distinct trajectories of resistance, resilience, and growth.

Conclusions:

• Resistance, bouncing back, and growth are distinct phenomena.
• A dynamical systems perspective offers a unified theoretical framework.
• These distinctions can guide future research and practical applications in resilience science.