P(Accused Guilt = True) = 0.4- Pi(Verdict Guilt = True I Accused Guilt = True, Biased = False) = 0.7 Pi(Verdict Guilt = True I Accused Guilt = False, Biased = False) = 0.3 P,(Verdict Guilt = True I Accused Guilt = False, Biased = True) = 0.8 Pi(Verdict Guilt = True I Accused Guilt = True, Biased = True) = 0.8 P(Baised = True) = 0.1 a) Show a screen shot of your BN identifying the relevant variables to model this problem, where the Sanhedrin can be independent or dependent (biased). [15 marks] b) Show the conditional probability tables for all relevant variables. [15 marks] H|_nt The way they present the model in the Royal Society paper may not be the way you might choose to follow. For instance, you do not necessarily need to use a binomial distribution but can instead simply build a discrete BN with separate Bernoulli trial nodes for each judge. However, whatever method you choose to follow any correct method is equally acceptable