Neuro-Symbolic Multi-Agent System for Requirements Reuse

A new neuro-symbolic multi-agent system re-conceptualizes requirements reuse as a model-driven elicitation process. The system uses a large language model (LLM) as a non-deterministic heuristic to traverse a deterministic domain model represented by a formal OOMRAM requirement lattice. A deterministic symbolic validator enforces structural constraints, eliminating hallucinated requirement combinations. This approach addresses the limitations of the Object-Oriented Method for Requirements Authoring and Management (OOMRAM), which relies on exact identifier matching and rigid templates. The system prevents LLMs from generating structurally invalid or inconsistent requirement combinations.