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LLMs can reproduce human biases in decision-making, study finds

By PulseAugur Editorial · [3 sources] ·

A new research paper explores the potential of large language models (LLMs) to replicate human behavioral biases in decision-making, specifically in route choice scenarios. The study proposes a framework to evaluate how LLMs, without explicit parameter specification, can exhibit decision behaviors consistent with cumulative prospect theory (CPT). Findings suggest LLMs can serve as a scalable alternative for modeling human decision processes, offering a foundation for advanced agent-based simulations and AI-driven behavioral research. AI

IMPACT LLMs may offer a scalable method for simulating human decision-making, advancing agent-based modeling and behavioral research.

RANK_REASON The cluster contains an academic paper detailing research findings.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

LLMs can reproduce human biases in decision-making, study finds

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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Jiangtao Han, Shoufeng Ma, Shuxian Xu, Geng Li, Shuai Ling, Ning Jia, Zhengbing He ·

    Reproducing human biases in route choice using large language models: Toward scalable behavioral modeling

    arXiv:2607.11632v1 Announce Type: new Abstract: 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 ch…

  2. arXiv cs.AI TIER_1 English(EN) · Zhengbing He ·

    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, …

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    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, …

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