贝叶斯网络，又称信念网络(Belief Network, BN), 或有向无环图模型，是由一个有向无环图(DAG,Directed acyclic graphical model)和条件概率分布(即知道P(xi|parent(xi))发生的概率构成，其中parent(xi)为指向xi的直接父节点)。它是一种模拟人类推理过程中因果关系的不确定性处理模型，其网络拓朴结构是一个有向无环图(DAG)。(Bayesian networks, also known as belief networks (Belief Network, BN), or directed acyclic graph models, are composed of a Directed acyclic graphical model (DAG) and a conditional probability distribution (ie know P(xi) |parent(xi)) Probability of occurrence, where parent(xi) is the direct parent to xi. It is an uncertainty processing model that simulates causality in human reasoning. Its network topology is a directed acyclic graph (DAG).)