Agents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science

In three linesSEED is a framework representing experimental conditions as typed actor-flow graphs to study multi-agent systems and human-AI workflows. It enables describing conditions, evaluating structural novelty, and generating candidate designs under constraints. Empirical test on medical-triage task shows SEED-guided designs provide clearer interaction changes, assumptions, and governance checks.

Summary generated by Claude — human-verified