Deterministic Execution for Diagnostics
An implemented assay execution engine and a proposed symbolic multi-agent architecture for medical diagnostics, where determinism and auditability were explicit requirements.
When execution must follow the rules
For a medical laboratory and diagnostics engagement, we worked on the architecture and execution of test assays. Strict determinism and auditability were requirements of the work: the system needed to execute ordered commands and respect scheduling constraints in a regulated medical-device context.
Predictability as an architectural requirement
Assay execution involves dependencies, sequencing, and resource constraints. A plausible next action is not enough. The architecture must define which actions are permitted, when they may occur, and how execution remains within those constraints.
Explicit constraints, controlled execution
We designed and implemented a runtime execution engine for test assays, managing workflows and enforcing scheduler constraints across complex sequences of commands.
We also proposed and designed a deterministic multi-agent framework using symbolic logic for inference, with correctness, predictability, and mathematical verification as design objectives. The scheduling design used constraint satisfaction and the AC-3 algorithm to address valid combinations of resources and actions. These architectural designs are distinct from the implemented execution engine.
What this contributes to agent fidelity
The implemented engine made workflow execution and scheduler constraints part of the system’s control structure. The broader architecture explored how agent behavior could be governed by explicit symbolic rules rather than relying on unconstrained inference.
This is a concrete foundation for our neurosymbolic direction: neural methods can provide flexible interpretation, while symbolic methods define and enforce selected boundaries of behavior. Our approach seeks determinism in defined execution paths and constraints, alongside evaluation of the agent’s broader behavior.
The proposed framework was intended to support regulatory review.