3 papers
econ.GN2026
General Social Agents
Benjamin S. Manning, John J. Horton
Useful social science theories predict behavior across settings. However, applying a theory to make predictions in new settings is challenging: rarely can it be done without ad hoc…
cs.AI2026
Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining
Crystal Qian, Kehang Zhu, John Horton +4
Markets increasingly accommodate large language models (LLMs) as autonomous decision-making agents. As this transition occurs, it becomes critical to evaluate how these agents beha…
cs.GT2025
Learning from Synthetic Labs: Language Models as Auction Participants
Anand Shah, Kehang Zhu, Yanchen Jiang +4
This paper investigates the behavior of simulated AI agents (large language models, or LLMs) in auctions, introducing a novel synthetic data-generating process to help facilitate t…