Systems Thinking & Cybernetics

26 primes originate from Systems Thinking & Cybernetics. 35 more draw from it as a secondary origin.

Primary members (26)

Primes whose canonical origin is Systems Thinking & Cybernetics.

• Adaptive Capacity — Ability to change.
• Attractor Selection and Basin Control — System dynamics directed toward stable states via basin manipulation.
• Black Box vs. White Box Distinction — Visibility of internal structure.
• Bottom-Up Perspectives — Local-driven analysis.
• Boundary Critique — Examines inclusion/exclusion assumptions.
• Cascade — A change in one element triggers a chain of further changes.
• Complexity — Measures system intricacy.
• Coupling — Interdependence among subsystems.
• Emergence — Complex patterns from simple rules.
• Environmental Coupling Strength — Rate of energy, information, or material exchange across boundary.
• Escape and Leakage — Constrained quantities exit through unintended pathways.
• Feedback — Outputs influence inputs.
• Leverage Points — High-impact intervention points.
• Metasystem Transition — Systems form higher-level system.
• Monitoring — Continuously observing a system's state to detect deviation from expected behavior and trigger a response, separating genuine signal from routine noise.
• Redundancy — Duplicate critical components.
• Reflexivity (Self-Reference) — Self-referential systems.
• Requisite Variety — Match environmental complexity.
• Robustness — Maintain functionality under stress.
• Second-Order Cybernetics (Second-Order Observation) — Observer within system.
• Self-Organization — Order without central control.
• Substitutability — One component replaces another without functional degradation.
• System Archetypes — Recurring configurations of reinforcing and balancing feedback loops that generate the same characteristic system behavior across different domains, enabling structural diagnosis instead of symptom-chasing.
• Temporal Dynamics — System outcomes depend fundamentally on timing, sequencing, duration.
• Top-Down Perspectives — Centralized control.
• Ultra-Stability (Ashby's Concept) — Multi-level feedback preserves viability.

Also draws from Systems Thinking & Cybernetics (35)

Primes whose canonical origin is elsewhere, but who list Systems Thinking & Cybernetics among their alternate origin domains.

• Adaptation — Systems adjust to conditions.
• Authority Delegation Under Uncertainty — Preposition decision authority at operational levels for contingencies.
• Autopoiesis — Self-producing systems.
• Boundary — Defines system limits.
• Collective Systemic Learning — Shared adaptation.
• Controllability — Ability to steer system.
• Coordination — Aligning independently controlled actors so their separate actions combine into a coherent collective outcome despite distributed decision-making and incomplete shared information.
• Downward Causation — Higher-level influence.
• Emergent Formalization (Language) — Informal to formal evolution.
• Fail-Safe — Default to safe state on failure.
• Flow — Structured movement of energy, matter, or information.
• Functional Redundancy (Degeneracy) — Multiple pathways fulfill same function.
• Hierarchy — Organizes elements into levels or ranks.
• Holism — Whole exceeds sum of parts.
• Homeostasis — Maintain internal stability.
• Immutability — State that cannot be modified after creation.
• Interference and Contention — Competing demands for shared bottleneck degrade throughput.
• Isomorphism — Structure-preserving mapping.
• Layered Coordination & Oversight — Multi-tier control.
• Layering — Segments systems into levels.
• Measurement and Disturbance — Obtaining information while minimizing measurement perturbation.
• Measurement Uncertainty and Complementarity — Complementary observables cannot be simultaneously specified precisely.
• Measurement Uncertainty and Observational Noise — Measurement noise arises from instrument and observation limits.
• Mental Model — Internal system representation.
• Multiplexing — Sharing one channel among many signals by dividing time, frequency, or code.
• Network — Models interactions between components.
• Observability — Infer internal state externally.
• Oversight Capacity — Limits of supervision.
• Sociotechnical Systems — Social + technical interaction.
• State and State Transition — Captures system condition and evolution.
• System Slack — Extra capacity for resilience.
• Systemic Fragmentation — Siloed subsystems.
• Temporal Synchronization and Phase Alignment — Phase alignment or misalignment determines efficiency and coherence.
• Threshold-Driven Order Emergence — Order after critical point.
• Variation Strategies — Deliberately injecting controlled variation into a system and selecting from the results to explore alternatives, accelerate learning, and gain robustness.