MIT Media Lab 研究大规模智能体社会的协调机制
MIT Media Lab 论文研究大规模 LLM 智能体社会中的协调机制，对比推送式消息与拉取式收件箱。模拟显示，在 1,000 至 16,000 个智能体和噪声流量下，先到先读会遗漏全部请求，而优先读取附带可退订押金消息的收件箱，在所有规模下仍能找到约 60% 智能体所需的请求。
Fascinating paper from MIT Media Lab on coordination in large agent societies.
(bookmark it)
I've seen a lot of success with agent-to-agent messaging recently.
That's exciting. I think agent persistence and coordination will unlock more novel use cases.
The authors report that with push delivery, an agent leading 20 negotiations proposes options that were already rejected 97% of the time. Its context fills up fast, and it drops the oldest replies.
The alternative they study is a pull-based inbox. Messages wait outside the context, and each agent's own rules decide what it reads and keeps.
In simulations of 1,000 to 16,000 LLM agents under noisy traffic, first-come-first-read misses every request. An inbox that first reads messages carrying a refundable deposit still finds about 60% of the agents a request needs, at every size.
Each inbox sets four rules. They decide what the agent reads, what it keeps, what a sender pays, and what a reply may say.
For multi-agent systems under load, you want to design the reading rules as carefully as the delivery protocol.
arxiv.org/abs/2610.36264
Chat with Paper: academy.dair.ai/papers/the-i…
来源：omarsar0 · x.com