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English(EN) Decision Models as Scalable Economic Surrogates that Capture Human Variation

决策模型在经济模拟中表现优于LLM，提供更快、更便宜的人类替代模型 · 跟踪2个来源

作者 PulseAugur 编辑部 · [2 个来源] ·

一类名为决策模型（DMs）的新型AI模型已被评估为经济模拟和调查中人类的替代模型。与大型语言模型（LLMs）相比，这些DM在响应时间和成本方面表现出更快的速度和更低的成本，同时还能更好地捕捉人类在不同经济环境下的行为差异。具体而言，在决策基准测试中表现出色的Frontier DM，在支出调查、经济博弈和劳动力市场实验中，比LLMs更准确地复制了人类的响应差异，尽管它们在经济博弈中的效果较差。 AI

影响 决策模型能够实现更具可扩展性和成本效益的经济模拟，可能为行为经济学和政策带来新的见解。

排序理由 该集群包含一篇详细介绍新型AI模型及其评估的学术论文。

在 arXiv cs.AI 阅读 →

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决策模型在经济模拟中表现优于LLM，提供更快、更便宜的人类替代模型 · 跟踪2个来源

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Maxime Saxena, Fabio Caccioli, R. Maria del Rio-Chanona ·

    Decision Models as Scalable Economic Surrogates that Capture Human Variation

    arXiv:2611.05553v1 Announce Type: cross Abstract: Decision Models (DMs), a new class of AI models, give fast responses and return a probability distribution over a fixed set of options. These properties make them candidate human surrogates in economic simulations and surveys, a r…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · R. Maria del Rio-Chanona ·

    决策模型作为可扩展经济替代品，捕捉人类差异

    Decision Models (DMs), a new class of AI models, give fast responses and return a probability distribution over a fixed set of options. These properties make them candidate human surrogates in economic simulations and surveys, a role increasingly filled by Large Language Models (…

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