sanity-check

To validate a multi-agent simulation scenario, run a quick sanity test that checks YAML file structure, executes a minimal simulation run, and verifies metrics like p-values and welfare fall within expected bounds. This prevents wasted resources by catching configuration errors early.

A multi-agent simulation sanity test verifies that p-values, welfare, toxicity, and acceptance rate metrics fall within expected bounds, ensuring probabilities are between 0 and 1 and all values remain finite.

To check if your YAML scenario file is correctly formatted, run a scenario validation script that parses the configuration, verifies required fields like agent types and topology, and confirms file existence in the scenarios directory.

Yes, you can test for simulation crashes without a full sweep by executing a short simulation run with a single seed for a few epochs. This minimal run validates basic metric calculation and identifies immediate runtime errors before committing computational resources.

During a risk assessment sanity check, verified parameters include agent types, governance, topology, and epoch or step counts. The validation ensures these fields exist and are structurally correct within the YAML configuration.

Multi-agent simulation metric calculation returns non-finite values when scenario configurations contain invalid epoch or step counts, missing agent types, or incorrect topology definitions. Running a sanity check identifies these configuration issues before the full simulation begins.