5 papers
AgentSociety 2: An Integrated Research Environment for Executable Social Science
Jinghua Piao, Jun Zhang, Haoyu Huang +16
AI scientist systems are beginning to automate parts of scientific research, but social science poses a distinct challenge: its objects of inquiry are not merely datasets or labora…
AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments
Jiaju Chen, Jinghua Piao, Xia Xu +4
A long-standing challenge in economics lies not in the lack of intuition, but in the difficulty of translating intuitive insights into verifiable research. To address this challeng…
Debiasing International Attitudes: LLM Agents for Simulating US-China Perception Changes
Nicholas Sukiennik, Yichuan Xu, Yuqing Kan +4
Large Language Models (LLMs) offer transformative opportunities to address the longstanding challenge of modeling opinion evolution in computational social science. This study inve…
Simulating Generative Social Agents via Theory-Informed Workflow Design
Yuwei Yan, Jinghua Piao, Xiaochong Lan +3
Recent advances in large language models have demonstrated strong reasoning and role-playing capabilities, opening new opportunities for agent-based social simulations. However, mo…
Exploring Large Language Model Agents for Piloting Social Experiments
Jinghua Piao, Yuwei Yan, Nian Li +2
Computational social experiments, which typically employ agent-based modeling to create testbeds for piloting social experiments, not only provide a computational solution to the m…