mlsanityData to 7 Oct 2026

Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cycle

arXiv 2507.05723 ↗First posted 8 Jul 2025cs.MAcited by 4

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

The emergence of Large Language Models (LLMs) with increasingly sophisticated natural language understanding and generative capabilities has sparked interest in the Agent-based Modelling (ABM) community. With their ability to summarize, generate, analyze, categorize, transcribe and translate text, answer questions, propose explanations, sustain dialogue, extract information from unstructured text, and perform logical reasoning and problem-solving tasks, LLMs have a good potential to contribute to the modelling process. After reviewing the current use of LLMs in ABM, this study reflects on the opportunities and challenges of the potential use of LLMs in ABM. It does so by following the modelling cycle, from problem formulation to documentation and communication of model results, and holding a critical stance.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 17 of its 53 references that are in the map. First posted on arXiv 8 Jul 2025.

Builds on

17 of 53 references.

Closest ancestors · 3

Same direction, newest first

  1. 2024Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning4 Feb
  2. 2024Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat30 Jan
  3. 2023Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives19 Dec

Other references · 14

  1. 2023Large Language Modelscited by 774
  2. 2023Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyondcited by 409
  3. 2023EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activitiescited by 154
  4. 2023Simulating Opinion Dynamics with Networks of LLM-based Agentscited by 153
  5. 2024Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulationcited by 69
  6. 2024Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agentscited by 48
  7. 2024Navigating LLM Ethics: Advancements, Challenges, and Future Directionscited by 28
  8. 2025Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulationscited by 28
  9. 2024LLM-Augmented Agent-Based Modelling for Social Simulations: Challenges and Opportunitiescited by 27
  10. 2024Agent-Based Modelling Meets Generative AI in Social Network Simulationscited by 25
  11. 2023GPT-Based Models Meet Simulation: How to Efficiently Use Large-Scale Pre-Trained Language Models Across Simulation Taskscited by 14
  12. 2021A brief history of AI: how to prevent another winter (a critical review)cited by 8
2 more
  1. 2024TraderTalk: An LLM Behavioural ABM applied to Simulating Human Bilateral Trading Interactionscited by 3
  2. 2024Exploring the Potential of Conversational AI Support for Agent-Based Social Simulation Model Designcited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 1; 2026: 3.

4 papers.

  1. 2025Empowering Real-World: A Survey on the Technology, Practice, and Evaluation of LLM-driven Industry Agentscited by 2
  2. 2026A Guide to Large Language Models in Modeling and Simulation: From Core Techniques to Critical Challengescited by 2
  3. 2026Subjective-Graph LLM Agents for Simulating Uncertainty in Classroom Social Perceptioncited by 0
  4. 2026Mechanism Plausibility in Generative Agent-Based Modelingcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Large Language Models as Supervised Extraction Assistants: Lowering the Barrier to Documentation Standard Adoption in Agent-Based Modelling
  2. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challenges
  3. 2025Large Language Model Agent: A Survey on Methodology, Applications and Challenges
  4. 2024Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects
  5. 2023A Survey on Large Language Model based Autonomous Agents
  6. 2024Large Language Model-Based Agents for Software Engineering: A Survey
  7. 2023The Rise and Potential of Large Language Model Based Agents: A Survey
  8. 2024Exploring Autonomous Agents through the Lens of Large Language Models: A Review