LLM-powered reasoning in agent-based modeling
On the map: LLM reasoning → Reasoning for agents, planning and code
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Abstract (arXiv)
Agent-based modeling (ABM) has the capability to model millions of individuals and their interactions, which is useful for policy making. However, ABMs have traditionally relied on static prior, which prevents the models from adapting to real-time changes. Our research provides a novel approach to addressing this information gap. Large language models (LLMs) offer new opportunities to predict human decision-making. Here, we introduce a scalable Hybrid Agent-based and Language-driven Epidemic (HALE) modeling framework that leverages LLMs to predict human decision-making in an ABM simulation. As a proof-of-concept, we use HALE to simulate COVID-19 and its effects in Salt Lake County, UT.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Reasoning for agents, planning and code, one of 17 directions in LLM reasoning. Builds on 9 of its 32 references that are in the map. First posted on arXiv 7 Jul 2026.
Builds on
9 of 32 references.
References · 9
- 2024The Llama 3 Herd of Modelscited by 14,192
- 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,767
- 2023Efficient Guided Generation for Large Language Modelscited by 192
- 2023Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordiacited by 119
- 2025JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Modelscited by 66
- 2023Epidemic Modeling with Generative Agentscited by 49
- 2023Large Language Models Can Infer Psychological Dispositions of Social Media Userscited by 28
- 2023Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligencecited by 19
- 2024Large Language Models are Zero-Shot Recognizers for Activities of Daily Livingcited by 13
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- 2024On the limits of agency in agent-based models
- 2025Large Language Models for Agent-Based Modelling: Current and possible uses across the modelling cycle
- 2025EpidemIQs: Prompt-to-Paper LLM Agents for Epidemic Modeling and Analysis
- 2024Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat
- 2025A Survey of LLM-based Agents in Medicine: How far are we from Baymax?
- 2025LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused Evaluation
- 2024LLM-Augmented Agent-Based Modelling for Social Simulations: Challenges and Opportunities
- 2024Large Language Model based Multi-Agents: A Survey of Progress and Challenges