[2603.20750] Modeling Epistemic Uncertainty in Social Perception via Rashomon Set Agents

Computer Science > Artificial Intelligence arXiv:2603.20750 (cs) [Submitted on 21 Mar 2026] Title:Modeling Epistemic Uncertainty in Social Perception via Rashomon Set Agents Authors:Jinming Yang, Xinyu Jiang, Xinshan Jiao, Xinping Zhang View a PDF of the paper titled Modeling Epistemic Uncertainty in Social Perception via Rashomon Set Agents, by Jinming Yang and 3 other authors View PDF HTML (experimental) Abstract:We present an LLM-driven multi-agent probabilistic modeling framework that demonstrates 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. Repeated peer communication and belief updates can gradually change these views and, over time, lead to stable group-level differences. To avoid assuming a global "god's-eye view," we assign each student an individualized subjective graph that shows which social ties they can perceive and how far information is reachable from their perspective. All judgments and interactions are restricted to this subjective graph: agents use retrieval-augmented generation (RAG) to access only local information and then form evaluations of peers' competence and social standing. We also add structural perturbations related...