Reproducing human biases in route choice using large language models: Toward scalable behavioral modeling
Human choice behavior, including route choice, exhibits systematic behavioral biases that deviate from the assumptions of full rationality. Cumulative prospect theory (CPT) has been widely recognized as an effective framework for characterizing such behavioral patterns. However, its large-scale application, particularly in simulation and agent-based modeling, critically depends on specifying individual-level CPT parameters, which remain a major bottleneck. Conventional approaches typically rely
Record details
Published: 13 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy
Retrieved: 14 July 2026
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ethics.ai (13 July 2026), “Reproducing human biases in route choice using large language models: Toward scalable behavioral modeling,” evidence record 3030, https://ethics.ai/record/3030 (originally published by arXiv cs.AI).
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