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Systems Thinking & Cybernetics

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

Primary members (61)

Primes whose canonical origin is Systems Thinking & Cybernetics.

  • Accumulation — A stock grows or shrinks as the time-integral of its net inflow minus outflow, so stocks and flows live on different objects and cannot be equated.
  • Adaptive Capacity — Ability to change.
  • Adaptive Radiation — A variable source population given access to a newly opened, niche-structured space of opportunity fans out rapidly into many specialized subtypes, then consolidates as niches saturate — a burst gated jointly on opportunity, variability, and niche structure.
  • Anna Karenina Principle — Success requires every one of a set of necessary conditions to hold at once while failure follows from the absence of any single one, so successes look alike, failures look idiosyncratic, and the system is gated by its weakest unsatisfied condition.
  • Asymmetric Interface Tolerance — At any interface, each side's strictness in enforcing the spec is an independent design parameter, and the four combinations produce qualitatively different long-term equilibria.
  • 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.
  • Braess's Paradox — Adding capacity to a network of self-optimizing users can shift the equilibrium and make aggregate performance worse.
  • Bypassed Safeguard — A protective control is systematically routed around by the very operators it was meant to protect, because it imposes friction against a production task and the workaround is locally rewarded and globally invisible until the rare hazard arrives.
  • Cascade — A change in one element triggers a chain of further changes.
  • Complexity — Measures system intricacy.
  • Contact-Response Decomposition — Impact decomposes into how much contact occurs between a system and a driver times how strongly the system responds per unit of contact, two independently actionable terms.
  • Coupling — Interdependence among subsystems.
  • Dragon King Theory — The largest events in some complex systems come from a distinct mechanism — synchronization or bifurcation near criticality — leaving them above the power-law tail and partly predictable.
  • 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.
  • Excitation-Inhibition Balance — Two opposed channels run concurrently and sum at every locus, so the system's output is the difference of two large quantities — high-gain, sharply tunable, and catastrophic to lose either side.
  • Fast-Path / Slow-Path Architecture — Handle the common case cheaply and escalate the exceptional case to an expensive path via a trigger.
  • Feedback — Outputs influence inputs.
  • Good Regulator Theorem — Every effective regulator of a system must be, or must contain, a model of that system.
  • Green-Beard Effect — Cooperation is sustained by a single observable marker that is both correlated with the cooperative disposition and recognizable by fellow carriers.
  • Hierarchical Decomposability — Nested decomposition where within-level coupling dominates over cross-level coupling, making complex systems tractably analyzable one scope at a time.
  • Inconsistent Shared Model — Subsystems hold mutually incompatible models of the same external state, undetected until a forcing event requires joint action.
  • Input Pressure — A sustained external input rate acts as the load variable a bounded receiving system must absorb or respond to.
  • Leverage Points — High-impact intervention points.
  • Lindy Effect — For entities that do not age, the longer they have already survived, the longer their expected remaining survival becomes.
  • 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.
  • Multi Path Convergence — Multiple distinct trajectories from different starts arrive at the same end-state, with the destination doing the work.
  • Non-Stationary Objective — The target moves at a rate comparable to or faster than the system can converge on it, so tracking error replaces steady-state error.
  • Open Publication for Interoperability — Publishing artifacts in an addressable, license-clear, machine-readable, openly accessible, versioned form so other communities can build on them without per-use negotiation.
  • Overshoot and Collapse — An enabling input that is beneficial at low levels crosses an assimilation ceiling and inverts into a self-amplifying degrading load, depleting a secondary resource and locking in a hysteretic worse regime that does not reverse when the input is removed.
  • Peltzman Effect — When a safeguard lowers the cost of failure, an agent reallocates the freed risk-budget into riskier behavior, partly offsetting the intended gain.
  • Record-Reality Divergence — An authoritative record of an external state drifts from the reality it describes while remaining the basis for downstream decisions.
  • Redundancy — Duplicate critical components.
  • Reference Cadence Exceeds Tracking Bandwidth — When the signal a closed loop must track changes faster than the loop's bandwidth, persistent error follows that no amount of executor effort can close.
  • Reflexivity (Self-Reference) — Self-referential systems.
  • Requisite Variety — Match environmental complexity.
  • Retention Under Removal Uncertainty — A durable system accumulates obsolete-but-not-removable elements because each removal decision faces an asymmetric cost that loses individually and wins only in the integral.
  • Risk Migration — An intervention that blocks a hazard at one site without absorbing the generative pressure behind it does not eliminate the hazard but relocates it across a permeable boundary to a less-monitored region, often where controls are weaker and measurement does not follow.
  • Robustness — Maintain functionality under stress.
  • Rock Cycle — The same persisting substance moves among a small set of distinct phase-states via named transformations, its identity preserved through phase change while its properties change qualitatively in each phase.
  • Sanctuary Effect — An adversary persists indefinitely because it regenerates inside a low-contestation zone the controller cannot reach, so suppression-only effort yields a positive steady state rather than elimination.
  • Scope Creep — A perimeter ratchets outward through small additions each judged against a drifting current baseline rather than the original charter, with no owner of the trajectory.
  • Second-Order Cybernetics (Second-Order Observation) — Observer within system.
  • Second-System Effect — When load-bearing constraints are lifted but capability is retained, a stockpile of postponed ambitions floods the successor, producing overengineering.
  • Self Engagement Under Misclassification — A defensive apparatus inflicts its full harm on self when its classifier misfires, because the protection machinery and the harm machinery are the same machinery gated only by the classifier.
  • Self-Organization — Order without central control.
  • Stock Disabled Control — A flow lever stops working when a shock pushes the system's stock variable outside the range where flow-margin nudges propagate; pulling harder fails until the stock is repaired.
  • Substitutability — One component replaces another without functional degradation.
  • Swiss Cheese Model (Layered Defense with Aligning Holes) — Catastrophe occurs only when a hazard finds a trajectory through a hole in every serial defensive layer at once, so the key variable is the correlation of holes across layers.
  • 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.
  • Tempo Mismatch — A system's pace of action is out of phase with the timescale of the environment it must respond to, so correct decisions degrade outcomes by arriving against a world that has already moved on (or one not yet ready to absorb them).
  • 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.
  • Vulnerability Hotspot — A place, population, or component where multiple independent sensitivities co-locate, so the joint probability of harm there is far larger than the product of marginal probabilities elsewhere and risk clusters rather than spreads evenly.
  • Withdrawal Rebound — A system that adapted to a sustained input by mounting an opposing internal compensation overshoots in the opposite direction when the input is abruptly removed, because the now-unopposed compensation is still pushing against an input that is no longer there.

Also draws from Systems Thinking & Cybernetics (35)

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