Markov Logic Networks

A machine learning framework that combines first-order logic with probabilistic graphical models to handle uncertainty in rule-based reasoning. In assistive technology contexts, MLNs enable context-aware systems to make intelligent decisions by weighing multiple factors—such as user location, time of day, and recent actions—to determine the most likely intended target of an ambiguous command. For example, a voice-controlled smart home might use MLNs to decide whether "turn on the light" refers to the bedroom or kitchen light based on where the user is standing and their typical behavior patterns.