mlsanityData to 7 Oct 2026

LLM-Augmented Agent-Based Modelling for Social Simulations: Challenges and Opportunities

arXiv 2405.06700 ↗First posted 8 May 2024physics.soc-ph cs.AIcited by 27

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

Abstract (arXiv)

As large language models (LLMs) continue to make significant strides, their better integration into agent-based simulations offers a transformational potential for understanding complex social systems. However, such integration is not trivial and poses numerous challenges. Based on this observation, in this paper, we explore architectures and methods to systematically develop LLM-augmented social simulations and discuss potential research directions in this field. We conclude that integrating LLMs with agent-based simulations offers a powerful toolset for researchers and scientists, allowing for more nuanced, realistic, and comprehensive models of complex systems and human behaviours.

Key facts. Cited by 27 papers in the map (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 8 of its 47 references that are in the map. First posted on arXiv 8 May 2024.

Builds on

8 of 47 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr

Other references · 7

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  3. 2022Out of One, Many: Using Language Models to Simulate Human Samplescited by 737
  4. 2023Role-Play with Large Language Modelscited by 290
  5. 2022Language Models as Agent Modelscited by 131
  6. 2022Structured information extraction from complex scientific text with fine-tuned large language modelscited by 56
  7. 2023Taxonomy, Semantic Data Schema, and Schema Alignment for Open Data in Urban Building Energy Modelingcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 13; 2026: 10.

27 papers.

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  1. 2024Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacycited by 36
  2. 2025EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safetycited by 21
  3. 2024Very Large-Scale Multi-Agent Simulation in AgentScopecited by 18
  4. 2025RecoWorld: Building Simulated Environments for Agentic Recommender Systemscited by 18
  5. 2024COMMA: A Communicative Multimodal Multi-Agent Benchmarkcited by 12
  6. 2025From the Fluency Fallacy to the Micro-to-Macro Validity Gap: Opportunities and Pitfalls of LLMs in Social Simulationcited by 8
  7. 2025Position: Collaborative Agentic AI Needs Interoperability Across Ecosystemscited by 7
  8. 2025Towards an LLM-powered Social Digital Twinning Platformcited by 4
  9. 2025Simulation Agent: A Framework for Integrating Simulation and Large Language Models for Enhanced Decision-Makingcited by 4
  10. 2025Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cyclecited by 4
  11. 2025How Social is It? A Benchmark for LLMs' Capabilities in Multi-user Multi-turn Social Agent Taskscited by 3
  12. 2025Games Agents Play: Towards Transactional Analysis in LLM-based Multi-Agent Systemscited by 3
15 more
  1. 2026WhatIf: Interactive Exploration of LLM-Powered Social Simulations for Policy Reasoningcited by 3
  2. 2024Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspectivecited by 2
  3. 2025A closer look at how large language models trust humans: patterns and biasescited by 1
  4. 2025Applying Psychometrics to Large Language Model Simulated Populations: Recreating the HEXACO Personality Inventory Experiment with Generative Agentscited by 1
  5. 2025TACLA: An LLM-Based Multi-Agent Tool for Transactional Analysis Training in Educationcited by 1
  6. 2025Socially Interactive Agents for Preserving and Transferring Tacit Knowledge in Organizationscited by 0
  7. 2026A Simulation-Based Method for Testing Collaborative Learning Scaffolds Using LLM-Based Multi-Agent Systemscited by 0
  8. 2026Collective Opinion Dynamics in Structured LLM Populationscited by 0
  9. 2026CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulationscited by 0
  10. 2026OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agentscited by 0
  11. 2026LLM-enabled Social Agentscited by 0
  12. 2026SocialFiVis: A Visual Analytics Sandbox for LLM-Grounded Multi-Agent Simulation in Social Financecited by 0
  13. 2026Item-Mean Surrogates: Why Richer Persona Data Fail to Improve LLMs as Human Surrogatescited by 0
  14. 2026LLM-Assisted Behavioural and Scenario Augmentation for Agent-Based Energy Adoption Modelscited by 0
  15. 2026Do Personality-Tuned LLMs Make Better Social Agents?cited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Beyond Static Responses: Multi-Agent LLM Systems as a New Paradigm for Social Science Research
  2. 2024GenSim: A General Social Simulation Platform with Large Language Model based Agents
  3. 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents
  4. 2024Sense and Sensitivity: Evaluating the simulation of social dynamics via Large Language Models
  5. 2025Exploring Large Language Model Agents for Piloting Social Experiments
  6. 2024Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs
  7. 2023Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering
  8. 2026AI Agents Alone Are Not (Yet) Sufficient for Social Simulation