mlsanityData to 7 Oct 2026

Social Simulations: from Agent-Based Modeling to Digital Twins

arXiv 2607.13693 ↗First posted 15 Jul 2026cs.MA cs.AI cs.SIcited by 0

On the map: LLM agents and tool use → Social simulation and multi-agent debate

Abstract (arXiv)

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, data-driven representations of real-world socio-technical systems. Along this trajectory, we discuss the main methodological foundations, applications, advantages, and limitations of each paradigm, highlighting the progressive shift from abstract models designed to investigate general social mechanisms toward increasingly realistic computational representations of specific social systems.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 9 of its 25 references that are in the map. First posted on arXiv 15 Jul 2026.

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9 of 25 references.

Closest ancestors · 2

Same direction, newest first

  1. 2023Simulating Opinion Dynamics with Networks of LLM-based Agents16 Nov
  2. 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr

Other references · 7

  1. 2022Social Simulacra: Creating Populated Prototypes for Social Computing Systemscited by 300
  2. 2024Y Social: an LLM-powered Social Media Digital Twincited by 43
  3. 2024Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networkscited by 31
  4. 2016Opinion dynamics: models, extensions and external effectscited by 11
  5. 2017NDlib: a Python Library to Model and Analyze Diffusion Processes Over Complex Networkscited by 5
  6. 2016Empirically Grounded Agent-Based Models of Innovation Diffusion: A Critical Reviewcited by 4
  7. 2022Improving tobacco social contagion models using agent-based simulations on networkscited by 1

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  1. 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents
  2. 2025Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations
  3. 2026SocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary Paradigm
  4. 2026AI Agents Alone Are Not (Yet) Sufficient for Social Simulation
  5. 2025SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users
  6. 2024LLM-Augmented Agent-Based Modelling for Social Simulations: Challenges and Opportunities
  7. 2024Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
  8. 2025AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society