Lack Kernel – Preliminary Experiment

Abstract

This experiment implements a minimal coherence-maintenance model to explore how a system’s coherence evolves under stochastic lack (perturbation). Coherence is defined as alignment between the system’s state and a slow memory variable. As lack increases, coherence tends to decrease. While minimal, this kernel is pluggable and could be used in adaptive systems (like games, robots, or AI agents) where stability or regulation is needed. The kernel is not a final validation of IPM claims; ensemble runs and further tests are necessary.