artificial intelligence asap both please

Consider the same assumption in previous question. In addition, we consider a possible vomiting out of coughing as shown in the following network, where V= vomiting (v or ). F A C V We assume that P(vc)=0.1 and P(vc) =0.2. Use Bayesian exact inference to obtain the following probabilities: 1. P(f,a,c,v) 2. P(fV) 3. P(af,v) 4. P(fa,c,v) Consider the Bayesian network depicted in previous question. Are the following statements true? Justify your answers. 1. VFA 2. AFV