AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation 事件

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation arXiv:2605.28655v1 Announce Type: new Abstract: Scientific research proceeds through iterative cycles of hypothesis generation, experiment design, execution, and revision. AI agents can automate parts of this process, but existing approaches typically follow a single research trajectory or coordinate through a central planner with fixed objectives. As a result, they struggle to sustain parallel exploration,