LLM-driven framework simulates vaccine opinion dynamics

Researchers have developed a new framework that integrates Large Language Models (LLMs) into agent-based modeling to simulate complex social phenomena. This framework, demonstrated using vaccination opinion dynamics, utilizes the Qwen3_8B LLM to model agents with diverse profiles and social networks. The study explores the impact of different cognitive modules, such as memory and prompt diversity, on emergent opinions and social influence, validating the framework's ability to reproduce observed non-linear behaviors. AI

IMPACT This framework could advance computational social science by enabling more nuanced simulations of opinion dynamics and social influence.

RANK_REASON The cluster contains an academic paper detailing a new modeling framework. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.MA (Multiagent) →

• agent-based model in biology
• large-language models
• memory module
• prompt diversity module
• Qwen3_8B
• social influence
• Social Networks
• vaccination opinion dynamics

• paper
• model release

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