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English(EN) Social Simulations: from Agent-Based Modeling to Digital Twins

大型语言模型在社会模拟中的应用：从高级建模到边界要求 · 跟踪 4 个来源

作者 PulseAugur 编辑部 · [4 个来源] ·

一本书的章节和一篇立场论文探讨了大型语言模型（LLMs）在社会模拟中的应用。书的章节追溯了从基于主体的模型到人工智能增强的模拟和社会数字孪生的演变，强调了向更现实的社会系统表示的转变。立场论文认为，在基于 LLM 的社会模拟中设定明确的边界是必要的，并强调当前 LLM 倾向于同质化输出，这限制了它们捕捉基本行为多样性的能力。它提出了验证和约束方法，以确保这些模拟能够提供对社会科学的真正见解。 AI

影响 基于 LLM 的社会模拟正在取得进展，但需要仔细的验证和边界设定，以确保对社会动态的深刻见解。

排序理由 该集群包含讨论 LLM 在社会模拟中使用的_方法论_和_理论边界_的学术论文。

在 arXiv cs.AI 阅读 →

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大型语言模型在社会模拟中的应用：从高级建模到边界要求 · 跟踪 4 个来源

报道来源 [4]

  1. arXiv cs.AI TIER_1 English(EN) · Erica Cau, Andrea Failla, Valentina Pansanella, Giulio Rossetti ·

    社会模拟：从基于代理的建模到数字孪生

    arXiv:2607.13693v1 Announce Type: cross Abstract: This book chapter covers the evolution of social simulation from classical agent-based models, in which agents interact according to explicitly defined behavioral rules, to AI-enhanced simulations based on Large Language Models an…

  2. arXiv cs.AI TIER_1 English(EN) · Giulio Rossetti ·

    社会模拟：从基于主体的建模到数字孪生

    This book chapter covers the evolution of social simulation from classical agent-based models, in which agents interact according to explicitly defined behavioral rules, to AI-enhanced simulations based on Large Language Models and, ultimately, Social Digital Twins: high-fidelity…

  3. arXiv cs.CL TIER_1 English(EN) · Zengqing Wu, Run Peng, Takayuki Ito, Makoto Onizuka, Chuan Xiao ·

    LLM-Based Social Simulations Require a Boundary

    arXiv:2506.19806v3 Announce Type: replace-cross Abstract: This position paper argues that LLM-based social simulations require clear boundaries to make meaningful contributions to social science. While Large Language Models (LLMs) offer promising capabilities for simulating human…

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

    From Blueprint to Reality: Modeling and Applying Putnam's Social Capital Theory with LLM-based Multi-agent Simulations

    Putnam's Social Capital Theory is a foundational framework for collective action and community prosperity. However, traditional empirical methods face practical limits on control and replication. Meanwhile, LLM-based social simulations are typically behavior-driven and lack theor…

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