AI RESEARCH
AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation
arXiv CS.AI
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ArXi:2605.28655v1 Announce Type: new 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, adapt as experimental evidence changes, or preserve knowledge of failed directions over long-running experiments. We.