Base120 · Recursion

Recursive Governance (Guardrails that Learn)

RE · Recursion

Establish rules that adapt based on their own effectiveness

Model code
RE20
Transformation
RE (Recursion) — Improve iteratively through feedback, reflection, and self-referential refinement.
Priority
20 of 20
Framework
HUMMBL Base120 — 120 mental models across 6 transformations

When to use

"Use when governance rules may become obsolete as the system evolves. Establish rules that adapt based on their own effectiveness — measure the rule's impact, revise the rule if the impact is not as intended."

Example

"A code review policy requires 2 approvals. After 6 months, data shows reviews average 4 hours and approval quality is declining (rubber-stamping). The policy adapts — 1 approval for low-risk changes, 3 for high-risk. The rule learned from its own effectiveness data."

Common misuse

"Adaptive rules that adapt too quickly, oscillating with every data point. Rules need stability to be followed; adaptation should be deliberate, not reactive. Add hysteresis or minimum stability periods."

Also known as

Adaptive GovernanceLearning Rules

Related models

RE2RE7SY17