Propagation of Belief

Propagation of belief is a process in probabilistic reasoning where information, or confidence levels, about certain facts is shared and updated throughout a network of related information. When one belief changes—say, new evidence favors a particular outcome—it influences related beliefs by adjusting their probabilities accordingly. This interconnected updating helps the entire system maintain consistent and coherent confidence levels, enabling more accurate predictions or decisions based on the collective information. It's a foundational concept in Bayesian networks and similar models, facilitating reasoning under uncertainty by efficiently managing how evidence impacts related beliefs.