Good Regulator Theorem
Updated 2026-08-02
INTRODUCTION
English translation pending.
CORE DEFINITION
Proved by Roger Conant and W. Ross Ashby, the good regulator theorem states that every good regulator of a system must be a model of that system. In formal terms, the regulator's internal states must map onto the system's states closely enough to sustain effective control. The result implies that failures of control trace back to failures of modeling rather than merely to insufficient effort or authority. Key qualification: the model must be good enough for the control objective, not exhaustive, so simplification is acceptable where it does not affect the relevant distinctions.
SCAFFOLDING EFFECT
Reduce cognitive load
- Diagnose control failures: ask whether the manager's internal model is detailed enough for the task. - Raise model fidelity: add the variables and feedback loops that determine the system's behavior. - Justify simplification: keep only the distinctions that matter for the control objective.
Anchor fast decisions
Control requires selecting actions based on the system's current state, and a regulator can only condition its actions on distinctions it represents internally. If a state is not represented, the regulator cannot respond to it, so control degrades exactly where the model is blind. Improving outcomes therefore requires improving the model rather than intensifying the same actions.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Good_regulator_theoremverified
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