Bayesian Networks refers to probabilistic graphical models that represent relationships between variables using directed graphs, where nodes represent variables and edges show probabilistic dependencies. These networks use Bayes’ theorem to calculate conditional probabilities, enabling systems to reason under uncertainty and make predictions based on incomplete information, making them valuable for diagnostic systems, risk assessment, and