Modeling Epistemic Uncertainty in Social Perception via Rashomon Set Agents

ArXi:2603.20750v1 Announce Type: new We present an LLM-driven multi-agent probabilistic modeling framework that nstrates how differences in students' subjective social perceptions arise and evolve in real-world classroom settings, under constraints from an observed social network and limited questionnaire data. When social information is incomplete and the accuracy of perception differs between students, they can form different views of the same group structure from local cues they can access.