Nature’s Blueprint for Flawless AI: How Starling Flocks Prevent Multi-Agent Failure
When artificial intelligence systems are scaled from single, isolated models into distributed swarms of multi-agent networks, they are expected to solve complex, large-scale problems cooperatively. However, standard synthetic AI swarms frequently experience severe structural breakdowns when coordinating at scale. Instead of achieving emergent collective intelligence, ungrounded multi-agent networks routinely succumb to computational paralysis, infinite debate…
