3. (20 pts.) Jack has three coins C1. C2, and Cs with p. Pp2, and ps as their corresponding p1, p...
3. (20 pts.) Jack has three coins C1. C2, and Cs with p. Pp2, and ps as their corresponding p1, p2, and p3 as their corresponding 3 Wit probabilities of landing heads. Jack flips coin C1 twice and then decides, based on the outcomes, whether to flip coin C2 or C3 next: if the two C1 flips come out the same, Jack flips coin C2 three times; if the two C1 flips come out different, Jack flips coin C3 three times. Given the outcome of Jack's last three flips as: tails, heads, tails, we want to know whether his first two flips came out the same. Describe a Bayesian network and a corresponding query that solves this problem
3. (20 pts.) Jack has three coins C1. C2, and Cs with p. Pp2, and ps as their corresponding p1, p2, and p3 as their corresponding 3 Wit probabilities of landing heads. Jack flips coin C1 twice and then decides, based on the outcomes, whether to flip coin C2 or C3 next: if the two C1 flips come out the same, Jack flips coin C2 three times; if the two C1 flips come out different, Jack flips coin C3 three times. Given the outcome of Jack's last three flips as: tails, heads, tails, we want to know whether his first two flips came out the same. Describe a Bayesian network and a corresponding query that solves this problem