Papers with lightweight generative-agent framework
MobileCity: An Efficient Framework for Large-Scale Urban Behavior Simulation (2026.eacl-industry)
Copied to clipboard
| Challenge: | Existing methods for simulating realistic urban behaviors rely on static profiles and synchronous inference pipelines that hinder scalability. |
| Approach: | They propose a lightweight generative agent framework for city-scale simulation powered by cognitively-grounded generative agents. |
| Outcome: | Experiments with 4,000 agents show that MobileCity generates more human-like urban dynamics than baselines while maintaining high computational efficiency. |