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LLMs in social simulations: from advanced modeling to boundary requirements · 4 sources tracked

By PulseAugur Editorial · [4 sources] ·

A book chapter and a position paper explore the use of Large Language Models (LLMs) in social simulations. The book chapter traces the evolution from agent-based models to AI-enhanced simulations and Social Digital Twins, emphasizing the shift towards more realistic representations of social systems. The position paper argues for the necessity of clear boundaries in LLM-based social simulations, highlighting that current LLMs' tendency towards homogeneous outputs limits their ability to capture essential behavioral diversity. It proposes methods for validation and constraint to ensure these simulations provide genuine insights into social science. AI

IMPACT LLM-based social simulations are advancing, but require careful validation and boundary setting to ensure meaningful insights into social dynamics.

RANK_REASON The cluster consists of academic papers discussing methodologies and theoretical boundaries for using LLMs in social simulations.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

LLMs in social simulations: from advanced modeling to boundary requirements · 4 sources tracked

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Research
The cluster consists of academic papers discussing methodologies and theoretical boundaries for using LLMs in social simulations.
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4 independent sources
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paper, model release
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High
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59 days old
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COVERAGE [4]

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

    Social Simulations: from Agent-Based Modeling to Digital Twins

    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 ·

    Social Simulations: from Agent-Based Modeling to Digital Twins

    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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