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This cluster examines decision-making and intervention in complex systems.
Defines the scope of decision-making and intervention practices in complex systems, including intervention patterns, hypothesis formation, impact analysis, diagnostic processes, escalation logic, evaluation metrics, scaling considerations, feedback conditions, and side-effect analysis. Limits itself to conceptual patterns and excludes operational implementation, specific technical integrations, and domain-specific configurations.
Method for designing, implementing, and continuously adapting rules, policies, or governance mechanisms in complex systems, focusing on intended effects, side effects, and learning cycles.
Donella Meadows' concept for identifying systemic intervention points where small changes can produce large effects.