Mevronic Neural Networks for Explicit Reliability Regime Control. A Semantically Anchored Architecture with Analytical Properties and an Evaluation Protocol
Autonomous systems face a difficult problem when the information they rely on becomes unreliable: they must decide not only what to predict, but also how much confidence to place in those predictions. This paper introduces Mevronic Neural Networks (MNNs), a design approach that connects a neural representation network with a persistent state describing its operating […]
