A probability model that uses arrows to show how uncertain things depend on each other.
A Bayesian Network is a detective’s corkboard for everyday chaos. Burnt toast has arrows to Dad and one guilty toaster.
It draws arrows between uncertain things. You meet it in diagnosis and risk checks. It also helps with cause-and-effect questions.
Belief State
A Bayesian Network can show a system's uncertain beliefs as probabilities.
Knowledge Graph
Both use graphs, but a Bayesian Network focuses on probability links.
SCM
Both show links between variables, but an SCM focuses on causes.
Do-Calculus
When the graph asks about interventions, it can connect to Do-Calculus.