A Large Language Model Driven Agent Based Modeling Framework With Multi Round

---
name: a-large-language-model-driven-agent-based-modeling-framework-with-multi-round
description: '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 expl. Based on arXiv:2607.07387.'
---

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

**arXiv**: 2607.07387 | **Authors**: Bo Zhang, Na Jiang | **Utility**: 0.85

## Overview

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 Contributions

1. 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.
2. However, how specific cognitive modules drive individual decisions and macro-level opinion dynamics remains unclear.
3. 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.
4. 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.

## Implementation Notes

- **Keywords**: llm, ecg, social-agent
- **Categories**: cs.MA, cs.SI, physics.soc-ph
- **Published**: 2026-07-08

## Activation Criteria

Use this skill when working on tasks involving: llm, ecg, social-agent.