reproducing-human-biases-in-route-choice-using-large-language-models-toward-scalable-behavioral-modeling-57357181·1 events·first seen Aliases: Reproducing human biases in route choice using large language models: Toward scalable behavioral modeling
A new arXiv preprint investigates whether LLMs can replicate systematic human decision-making biases in route choice scenarios without explicitly specifying cumulative prospect theory (CPT) parameters. The authors design a behavioral evaluation framework and find that LLMs reproduce non-rational choice patterns consistent with CPT effects under uncertainty. The findings suggest LLMs could serve as a scalable substitute for survey-based parameter calibration in agent-based behavioral simulations, addressing a longstanding bottleneck in large-scale human decision modeling.