LLM Agent 能否通过交互发现隐藏规则？新论文揭示局限

Can LLM agents actually discover hidden rules by interacting?

The answer is uncomfortable. The more complicated the hidden world gets, the faster AI agents fall behind.

LLMs often cannot turn growing evidence into a stable internal model.

Current LLM agents can sometimes discover hidden structure through interaction, but they are still weak at planning questions, using memory, and turning feedback into a reliable world model.

Link – arxiv. org/abs/2606.16576

Title: "Can LLM Agents Infer World Models? Evidence from Agentic Automata Learning"