Dynamics, Emergence & Feedback

Concept for analyzing and modeling systems with nonproportional feedback, instabilities, and emergent phenomena.

Methodology for modelling complex dynamic systems using stocks, flows and feedback loops to analyse behavior over time.

Concept from complexity science: system-level properties arise from local interactions and feedback; relevant for architecture, organizational and product design.

A principle where teams and systems autonomously make decisions and coordinate without centralized control.

Causal Loop Diagrams visualize feedback loops and causal relationships in complex systems to uncover dynamics, leverage points, and unintended side effects.

A control-theory concept that uses feedback to regulate systems, ensuring stability, setpoint achievement, and disturbance rejection.

Cyclic information and control paths that connect observation, evaluation and response to enable learning and continuous improvement.

Adaptation is the architectural principle of adjusting systems at runtime to changed conditions to maintain availability and performance.

Stability denotes a system's ability to deliver expected behavior over time and remain available under load or faulty conditions.