Warned alike, AI agents avoid the less-crowded road while people take it
AI agents built on a few shared models increasingly act for many people. A shared forecast about others can align their choices and change how scarce capacity is allocated. We tested this feedback in a two-road congestion game. Adding one sentence warning that others might follow a routing tip made populations of 50 GPT agents crowd one road while avoiding the nearly empty alternative. Average travel time rose from 64 to 95 min, although any crowded-road agent could have saved 69 min by switching alone. The warning discouraged the very move it predicted. The pattern persisted for 100 rounds. Two other model families shifted the same way without locking onto one road. Twelve all-human grou...
| Authors | Takahiro Ezaki, Naoto Imura, Katsuhiro Nishinari |
|---|---|
| Primary category | physics.soc-ph |
| Published | 25 September 2026 |
| Last updated at source | 25 September 2026 |
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