Given the following Bayesian Network consisting of four Bernoulli random variables and the associated conditional probability tables:
The value of (rounded off to three decimal places).
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Directed acyclic graph with four nodes U, V, W, Z. Edges: U→V, U→W, V→Z, W→Z (a diamond with U at the top, V and W in the middle, Z at the bottom). Tables: P(U=0)=0.5, P(U=1)=0.5. P(V=0|U) and P(V=1|U): for U=0 it is 0.5 and 0.5; for U=1 it is 0.5 and 0.5. P(W=0|U) and P(W=1|U): for U=0 it is 1 and 0; for U=1 it is 0 and 1. P(Z=0|V,W) and P(Z=1|V,W): (V=0,W=0) is 0.5 and 0.5; (V=0,W=1) is 1 and 0; (V=1,W=0) is 1 and 0; (V=1,W=1) is 0.5 and 0.5.