Bayesian Networks is a model that efficiently represents knowledge and probabilistic inference and is a popular graphics decision-making analysis tool.
贝叶斯网络是在不确定性环境下有效的知识表示方式和概率推理模型，是一种流行的图形决策化分析工具。
OBJECTIVE: To introduce the mental model theory and probabilistic theory with their disputation and tradeoff in conditional inference domain.
目的：介绍条件推理领域心理模型理论与概率理论以及它们之间的争论与融合。
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