The Stability Blind Spot in Evolutionary Systems
Why high‑performing agents collapse — and how K makes coherence visible.
Evolutionary systems optimise for behaviours that succeed inside narrow evaluation windows. They reward momentary performance but remain blind to whether those behaviours endure when conditions shift. As agents scale, this blind spot becomes decisive: drift, brittleness, mutation collapse, and representational decay all remain invisible to reward.
K is a finite‑horizon stability signal that reveals how trajectories respond to controlled perturbations. It exposes contraction, amplification, recovery margins, and basin entry — structural properties that fitness cannot see.
By adding K as a second axis of evaluation, evolutionary systems can select for strategies that not only win, but last.
Index
A clean, authoritative index that matches your Clarus Foundations → Stability Geometry pillar.
1. Abstract
The stability blind spot and the introduction of K as a finite‑horizon robustness signal.
2. The Stability Blind Spot
Why evolutionary systems select for fitness but remain blind to robustness under perturbation, mutation, drift, and environmental shift.
3. K — A Stability Signal
How K reveals contraction, amplification, recovery, and basin entry — structural behaviours invisible to reward.
4. What K Does Not Do
K is meta‑structural: it does not define mutations, guide learning, or alter architectures. Its role is singular — make stability observable.
5. Structural Challenges in Evolutionary Search
Brittleness of high‑fitness lineages
Hidden drift across generations
Over‑pruning of long‑horizon strategies
Catastrophic forgetting of structure
6. How K Enhances Evolutionary Systems
A two‑axis regime: reward + robustness.
Early drift detection, stronger exploration, mutation control, and long‑term preservation of structure.
7. Safe, Abstract Evaluation Templates
Behavioural trajectory tests, architecture stability tests, lineage visualisation, mutation‑stability profiles, perturbation maps — all without revealing internal mechanisms.
8. Discussion
Why K strengthens exploration, reduces drift, and preserves long‑horizon coherence — and its limitations.
9. Conclusion
Fitness finds winners. K finds winners that last.
10. Clarus — Speaking to Evolution Itself
A public‑ready articulation of K’s role as the missing dimension in evolutionary search.