Intention Abstraction Layer Enables Pre-Execution Conflict Detection in Autonomous Industrial Systems

Jul 17, 2026

A new preprint introduces the Intention Abstraction Layer (IAL), a middleware that leverages large language models and OWL ontologies to represent human intentions as persistent runtime objects in autonomous industrial systems. The IAL enables pre-execution detection and explanation of goal conflicts between autonomous agents, as demonstrated in a proof-of-concept scenario where conflicting intentions were flagged before execution. This approach shifts behavioral assurance from post-hoc analysis to intention-level checking.

Why it matters: The IAL offers a novel method for improving safety and reliability in multi-agent industrial systems by identifying and explaining goal conflicts before they lead to operational failures.

Full story at: arXiv AI/ML ↗