48 citations · 63 across the 5 of their papers we have counts for
5 papers
Modeling Human Behavior with Type Vectors Using AI
Matthew O. Jackson, Benjamin S. Manning, Yutong Xie +2
We introduce a general, easy-to-implement AI-based modeling technique for analyzing human behavior. A key feature of this approach, which contrasts with existing modeling technique…
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…
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…
Automated Social Science: Language Models as Scientist and Subjects
Benjamin S. Manning, Kehang Zhu, John J. Horton
We present an approach for automatically generating and testing, in silico, social scientific hypotheses. This automation is made possible by recent advances in large language mode…
Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?
John J. Horton, Apostolos Filippas, Benjamin S. Manning
We argue that newly-developed large language models (LLMs), because of how they are trained and designed, are implicit computational models of humans -- a Homo silicus. LLMs can be…