mlsanityData to 7 Oct 2026

A Large Language Model-Driven Agent-Based Modeling Framework with Multi-Round Communication for Simulating Vaccine Opinion Dynamics

arXiv 2607.07387 ↗First posted 8 Jul 2026cs.MA cs.SI physics.soc-phcited by 0

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

Abstract (arXiv)

Recently, Large Language Models (LLMs) have been utilized in various applications of computational social science and provide the possibility to integrate such models into agent-based modeling to explore the cognitive processes. However, how specific cognitive modules drive individual decisions and macro-level opinion dynamics remains unclear. Therefore, this study introduces a framework that integrates an LLM (Qwen3-8B) into agent-based modeling to investigate this problem, using vaccination opinion dynamics as a case study. We utilize this framework to simulate opinion dynamics among agents with heterogeneous profiles and social networks, evaluating scenarios by enabling different cognitive modules: a memory module and a prompt diversity module. The simulation results reveal that different cognitive modules have opposite impacts on our emergent opinion. Furthermore, the framework reproduces the non-linear behavior patterns of social influence observed in existing research, demonstrating our framework's validity and potential to reach the level 3 validation of agent-based models.

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 8 of its 21 references that are in the map. First posted on arXiv 8 Jul 2026.

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8 of 21 references.

Closest ancestors · 4

Same direction, newest first

  1. 2025Simulating Generative Social Agents via Theory-Informed Workflow Design12 Aug
  2. 2025Simulating Society Requires Simulating Thought8 Jun
  3. 2025Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations4 Apr
  4. 2023Simulating Opinion Dynamics with Networks of LLM-based Agents16 Nov

Other references · 4

  1. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  2. 2024A Survey on the Memory Mechanism of Large Language Model based Agentscited by 622
  3. 2023Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agentscited by 72
  4. 2025The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societiescited by 12

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  1. 2024Sense and Sensitivity: Evaluating the simulation of social dynamics via Large Language Models
  2. 2026ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles
  3. 2025Can A Society of Generative Agents Simulate Human Behavior and Inform Public Health Policy? A Case Study on Vaccine Hesitancy
  4. 2025Emergence of polarization in networks of large language model agents
  5. 2024Social Opinions Prediction Utilizes Fusing Dynamics Equation with LLM-based Agents
  6. 2024Agent-Based Modelling Meets Generative AI in Social Network Simulations
  7. 2026Agent-based Modeling: Equilibrium, Echo Chambers, and Efficiency in Hybrid Coevolutionary Opinion Games
  8. 2025DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents