A quantified measure of how strongly an AI agent holds its position after being exposed to counter-arguments from other agents in a multi-round deliberation. Unlike simple confidence scores (which reflect initial certainty), conviction scores are rigorously challenged — they represent the residual strength of a position after adversarial challenge.
High conviction that survives multiple rounds of debate is a stronger signal than high initial confidence that was never challenged. Conviction scoring helps decision-makers distinguish between positions that are genuinely robust and those that merely sounded confident.