论文实验:100 个 LLM agent 运行小镇经济 26 周,货币最终停止流动

elvis · @omarsar0 · X·2026-09-12 09:00·47分钟前
AI 导读

一项研究将 100 个带记忆的 LLM agent 置于真实 Pokhara Lakeside 地理的小镇经济中,运行最长 26 个模拟周、91 次有效运行共 2.44M 次决策,发现货币停止流动:12 倍游客冲击使商业收入升至 4.62 倍,但工资仅 1.03 倍,3,981 个菜单项中只有 0.3% 曾重新定价;随机现金转移 311 步后 96.7% 仍未花出。

elvis@omarsar0
60AI 编辑部评分,满分 100

论文实验:100 个 LLM agent 运行小镇经济 26 周,货币最终停止流动

2026-09-12 09:00· 47分钟前
AI 导读

一项研究将 100 个带记忆的 LLM agent 置于真实 Pokhara Lakeside 地理的小镇经济中,运行最长 26 个模拟周、91 次有效运行共 2.44M 次决策,发现货币停止流动:12 倍游客冲击使商业收入升至 4.62 倍,但工资仅 1.03 倍,3,981 个菜单项中只有 0.3% 曾重新定价;随机现金转移 311 步后 96.7% 仍未花出。

What happens if you agents to run a town's economy?

This super interesting paper provides some insights:

They put 100 LLM agents in charge of a town economy for 26 simulated weeks, and they find that money stops moving.

The agents earn wages, run businesses and set prices on real Pokhara Lakeside geography, across 91 runs and 2.44M decisions.

A 12x tourist shock raises business revenue 4.62x. Wages move 1.03x, and only 0.3% of 3,981 menu items are ever repriced.

A cash transfer shows the same pattern. 96.7% of it is still unspent 311 steps later.

Here is the interesting part for anyone building agent simulations. Swapping the underlying LLM changed every outcome they measured. Deleting the agents' memory changed none of them detectably.

Results at the usual 1 to 2 week horizon also mislead. Wealth rankings look frozen at 2 weeks and only start to move by week 12.

Paper: https://arxiv.org/abs/2609.11108

Chat with Paper: https://academy.dair.ai/papers/but-how-would-ai-agents-run-a-towns-economy-2609.11108