Verification Protocol for Adaptive Agentic Controllers Using Finite Rule Revision

Jul 14, 2026

A new paper proposes a bounded verification protocol for adaptive agentic controllers represented by finite symbolic rules, diagnostic predicates, and explanation logs. The framework maps diagnostic failures to predefined rule edits and re-evaluates repaired controllers on held-out simulations. Experiments on an inventory-control benchmark demonstrate three outcomes: non-repairable failures, rejected partial repairs, and successful local one-step repairs.

Why it matters: This work addresses the gap between prototype capability and production deployment of industrial agentic AI systems by providing a simulation-compatible method for verifying and locally repairing controller failures without unrestricted human oversight.

Full story at: arXiv AI/ML ↗