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1. A Bayesian network is shown for the variables paper Thickness, paper Alignment and Print Quality. The conditional probabilities are provided in the tables beside the nodes. Here, Thickness = {high or low}, Alignment = {straight or angled}, and Print Quality = {good or bad}.
Calculate the following quantities from the information in the Bayesian network.
a) P(Alignment = straight)
b) P(Alignment = straight | Print Quality = good)
Q. Reduce following to minimum literals and derive their complements. 1. [(AB)'A][(AB)'B] 2. ABC(ABC' + AB'C + A'BC) 3. (A+C+D) (A+C+D') (A+C'+D)(A+D')
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