Behavioral Fidelity of LLMs in Complex Decision‑Making Environments

Determine how well large language models capture human behavior in complex decision‑making environments characterized by strategic interdependence and endogenous belief formation.

Background

The paper distinguishes between simple decision tasks, where LLMs often align with human responses, and complex multi-agent environments that require anticipating others’ actions and forming beliefs from observed behavior.

The authors highlight that, despite progress, it is still uncertain whether LLMs reproduce human behavior in such strategically interdependent, belief-driven settings, motivating their two-stage framework and empirical tests.