arXiv AI Papers•
Epistemic Filtering and Collective Hallucination: A Jury Theorem for Confidence-Calibrated Agents
Back to overview
Researchers propose a probabilistic framework where heterogeneous agents learn to calibrate their confidence and selectively abstain from voting. Unlike classical jury theorems assuming fixed participation, this model allows agents to say "I don't know." The framework derives guarantees showing selective participation generalizes the Condorcet Jury Theorem to sequential, confidence-dependent settings.
Read full article
0 views