Probability, Conditional Probability & Bayes Rule
CIS 391- Intro to AI 8 Conditional Probability P(cavity)=0.1 and P(cavity toothache)=0.04 are both prior (unconditional) probabilities Once the agent has new evidence concerning a previously unknown random variable, e.g. Toothache, we can specify a posterior (conditional) probability e.g. P(cavity | Toothache=true) P(a | b) = P(a b)/P(b) [Probability of a with the Universe restricted to b]
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