Prior probability（先验概率) Prior or unconditional probabilities(无条件概率)of propositions 在没有任何其它信息存在的情况下关于命题的信度 e.g.,P(Cavity true)=0.1 and P(Weather sunny)=0.72 correspond to belief prior to arrival of any (new)evidence Probability distribution gives values for all possible assignments: 概率分布给出一个随机变量所有可能取值的概率 e.g.,P(Weather)=<0.72,0.1,0.08,0.1>(normalized ( 化的)，i.e.,sums to1) 口卡B·三4色进分双0. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Prior probability（先验概率） Prior or unconditional probabilities（无条件概率） of propositions 在没有任何其它信息存在的情况下关于命题的信度 e.g., P(Cavity = true) = 0.1 and P(Weather = sunny) = 0.72 correspond to belief prior to arrival of any (new) evidence Probability distribution gives values for all possible assignments: 概率分布给出一个随机变量所有可能取值的概率 e.g., P(Weather) = <0.72, 0.1, 0.08, 0.1> (normalized（归一 化的）, i.e., sums to 1)