Controlling Noisy Herds — The Bhamla Lab
bhamla.com · 1,522 words · saved by 1 readers
A centuries old farming practice informs our understanding of control theory
a centuries-old farming practice informs our understanding of control theory Sheepdogs control small, unpredictable flocks by first aligning decisions and then triggering motion, and that same idea inspires a low-effort way to steer robot swarms and artificial agents in noisy conditions. Three dogs herding sheep in the field. Source. Animals form noisy, stochastic (random) collectives Birds, bugs, fish, sheep, and many other organisms move in groups because it benefits individuals (for example, protection from predators). The puzzle is that the “group” is not a single organism. It is…
saved by
related reading
- What AI-herding scientists can learn from watching ‘sheepdog YouTube’ | Scientific Americanscientificamerican.com
- The Bhamla Labbhamla.gatech.edu
- Sheep lead the way | Nature Physicsnature.com
- The case for ensuring that powerful AIs are controlled — LessWronglesswrong.com
- Patterns and problems in multiagent systemsanthropic.com
- Effective leadership and decision-making in animal groups on the move | Naturenature.com
- CERN scientists find evidence of quantum entanglement in sheep – Home | CERNhome.cern
- Flocking together: Study shows how animal groups find their wayprinceton.edu
- [2603.24676] When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMsarxiv.org
- Why Control Creates Conflict, and When to Open Instead — LessWronglesswrong.com
- Swarm intelligence - Wikipediaen.wikipedia.org
- Emergent Cheating in Autonomous Research Swarmsemergentmind.com