AI Agents for Economic Forecasting
Professor: Yuheng Bu
Description: This project will explore the use of large language models (LLMs) agents for economic forecasting and simulation. The Cal-Bridge scholar will study how LLM-based agents can interact in simplified market settings, analyzing whether their collective behavior converges toward economic equilibrium. In parallel, the student will compare LLM-driven predictions with traditional forecasting methods to evaluate their strengths and limitations.
Preferred Qualifications: Python programming, data analysis, machine learning
