Abstract
Industrial agentic AI systems increasingly exhibit a gap between prototype capability and production deployment. In particular, adaptive agents may generate plausible outputs while remaining difficult to verify under non-determinism, confidentiality constraints, limited context, and weak observability. This paper formulates a bounded verification protocol for adaptive agentic controllers represented by finite symbolic rules, explicit diagnostic predicates, explanation logs, and held-out re-evaluation.
Research Question
The central research question is: when an adaptive agentic controller is represented through finite rules, explicit diagnostic predicates, explanation logs, and held-out re-evaluation, which classes of controller failure can be detected, locally repaired, or rejected without relying on unrestricted human-in-the-loop judgment?
Verification Framework
The proposed framework treats the controller as a finite revisable object. Diagnostic failures are mapped to predefined rule-level edits, including rule addition, rule deletion, and priority revision. Repaired controllers are then evaluated on held-out simulation seeds or cloned initial states.
Experimental Results
Experiments in a stylized financially constrained inventory-control benchmark show three outcomes:
- Resource-induced failures that remain non-repairable by one rule edit;
- Partial repairs that are rejected because they violate thresholds or guardrails;
- A local one-step repair of an order-volatility failure induced by removing a smoothing rule.
Methodological Contribution
The contribution is methodological and provides a simulation-compatible procedure for testing whether specific controller-level failures can be made observable, explainable, locally revisable, and empirically re-tested under controlled conditions.
Blogger's Review: The proposed verification protocol offers a new perspective on ensuring the reliability of adaptive agentic controllers, especially in complex environments, highlighting the significance of effective local repairs in both theoretical and practical contexts.