AgentSociety is a large-scale LLM agent-based social simulator validated on polarization, UBI, disasters, and sustainability issues with alignment to real experiments.
Using large language models to simulate multiple humans and replicate human subject studies
2 Pith papers cite this work. Polarity classification is still indexing.
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S³ uses LLM agents to simulate social networks by modeling emotion, attitude, and interaction, producing emergent propagation phenomena with promising accuracy on real data.
citing papers explorer
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AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society
AgentSociety is a large-scale LLM agent-based social simulator validated on polarization, UBI, disasters, and sustainability issues with alignment to real experiments.
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S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents
S³ uses LLM agents to simulate social networks by modeling emotion, attitude, and interaction, producing emergent propagation phenomena with promising accuracy on real data.