AIM Framework glossary
Network Loop Gain
Canonical definition
Network Loop Gain (). The Network Loop Gain is the cross-Individual contribution to the total stability condition of the three-layer formalism, decomposing additively as , where is the fast-channel network gain (with the spectral radius of the Observability matrix) and is the slow-channel network gain (with the spectral radius of the off-diagonal Evidence-coupling matrix and the population-averaged Evidence-emission coefficient).
Explanation
The Network Loop Gain is the population-scale analogue of the within-Individual Internal Loop Gain and the Slow-Layer Loop Gain. It captures how strongly an Individual's valuation and Belief outputs feed back into the system through other Individuals, via two architecturally distinct channels: the Observability channel (one Individual's behaviour becomes another's Model signal) and the Evidence channel (one Individual's emitted Evidence proposition enters another's Belief Register). The additive decomposition makes each channel separately diagnosable and separately interveneable, which is the architectural basis for the five-channel Knowledge Patch footprint at the network scale.
Epistemic status
Framework-Specific Construct. Source: Appendix A.5.7.4.