AEROBAT automates behavioral science on AI agents, testing 79 hypotheses
Researchers unveiled AEROBAT, a multi‑agent system that runs the full behavioral‑science pipeline on AI agents—hypothesis generation, experiment design, execution, analysis, and reporting. On 12 target behaviors it produced 79 hypotheses, ran 1,240 experiments and over 23,000 simulations, finding strong evidence for 26, including novel insights. This shows automated research can scale beyond manual effort.