Learning Alignment Operator (Λ^L)

Definition

The operator that aligns learning updates with empirical and external reality cycles: Λ^L: L* → R, where R represents reality cycles (physical constraints, empirical outcomes, external system behaviour). Learning alignment ensures institutional updates synchronise with reality rather than political cycles, reputational incentives, or internal narratives. Can only be applied after decoupling (Δ^L).

Formula

Example

Synchronising a delivery agency's learning cycle to actual cost, delay, and risk transfer performance (reality cycles) rather than electoral cycles or media scrutiny implements Λ^L.

Source

ILA-Core Section 8