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papersTODAY 04:00 UTC

LLM-Enabled Agent-Based Model Simulates Social Network Dynamics

A revised arXiv paper presents the LAND model, which combines large language models with agent-based simulation to study how individual interactions on networks build into collective influence and coordinated behavior. The work builds on the GhostField architecture and positions LLM-driven agents as a way to model social dynamics more realistically than rule-based agents alone.

GhostField LAND LLM agents agent-based-modeling collective-behavior social-network-dynamics

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arXiv cs.AIModeling Social Dynamics with an LLM-Enabled Agent Based Network-Dynamic (LAND) Model ↗TODAY 04:00 UTC