Researchers argue that artificial intelligence agents should be evaluated based on their underlying behavioral processes, not just performance outcomes. They draw from the behavioral sciences to propose a new research agenda focused on developing rigorous tests for AI behavior. This includes methods for analyzing decision-making strategies and probing emergent dynamics in multi-agent systems. --- Why it matters: This matters because it highlights the need for more nuanced evaluation methods that can capture the complexities of AI behavior, which is increasingly essential as these systems interact with dynamic environments and adapt over time. Source: https://arxiv.org/abs/2608.18081