(A) *Centralized top-down systems* like the human brain.
(B) *Distributed/collective bottom-up systems* as seen in ant colonies and bee hives.
When we build AI agents we tend to think it from the centralized systems’ perspective. Even for swarm agent by OpenAI, it’s not truly a bottom-up, but a top-down multi-agent org that hand offs tasks to sub agents. A real swarm architecture should not have a centralized decision maker, working collectively bottom-up, so as to be able to scale up to thousands of agents.
I’ve built a Classification Agent inspired by how bee hives forage honey and make decisions collectively without a central decision maker. The result is a system that is more reliable, scalable, model-agnostic, and steerable.
minkijung•2h ago
There are two types of intelligence in nature:
(A) *Centralized top-down systems* like the human brain. (B) *Distributed/collective bottom-up systems* as seen in ant colonies and bee hives.
When we build AI agents we tend to think it from the centralized systems’ perspective. Even for swarm agent by OpenAI, it’s not truly a bottom-up, but a top-down multi-agent org that hand offs tasks to sub agents. A real swarm architecture should not have a centralized decision maker, working collectively bottom-up, so as to be able to scale up to thousands of agents.
I’ve built a Classification Agent inspired by how bee hives forage honey and make decisions collectively without a central decision maker. The result is a system that is more reliable, scalable, model-agnostic, and steerable.