FAOS Neurosymbolic Architecture Boosts Enterprise Agent Accuracy by 46% via Ontology-Constrained Reasoning

Researchers introduced a neurosymbolic architecture that constrains LLM-based agents with formal ontologies, improving metric accuracy by 46% and regulatory compliance by 31.8% in controlled experiments. The system, deployed in production, serves 21 ...