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This paper presents a multi-agent crowd simulation using LLM-driven agents that perceive and appraise each other through visual, auditory, and tactile channels, leading to emergent emotional contagion without explicit hand-authored affect transfer. The study demonstrates spatial, temporal, and personality-dependent contagion dynamics across five scenarios and evaluates backend-dependent appraisal behavior.
BEHAVE is a hybrid AI framework for real-time modeling of collective human dynamics, as presented in a preprint on arXiv.