1. Draw a Bayesian network for this domain, given that the gauge is more likely to fail when the core temperature gets too high.

2. Is your network a polytree? Why or why not?

3. Suppose there are just two possible actual and measured temperatures, normal and high; the probability that the gauge gives the correct temperature is $x$ when it is working, but $y$ when it is faulty. Give the conditional probability table associated with $G$.

4. Suppose the alarm works correctly unless it is faulty, in which case it never sounds. Give the conditional probability table associated with $A$.

5. Suppose the alarm and gauge are working and the alarm sounds. Calculate an expression for the probability that the temperature of the core is too high, in terms of the various conditional probabilities in the network.

In your local nuclear power station, there is an alarm that senses when
a temperature gauge exceeds a given threshold. The gauge measures the
temperature of the core. Consider the Boolean variables $A$ (alarm
sounds), $F_A$ (alarm is faulty), and $F_G$ (gauge is faulty) and the
multivalued nodes $G$ (gauge reading) and $T$ (actual core temperature).

1. Draw a Bayesian network for this domain, given that the gauge is
more likely to fail when the core temperature gets too high.

2. Is your network a polytree? Why or why not?

3. Suppose there are just two possible actual and measured
temperatures, normal and high; the probability that the gauge gives
the correct temperature is $x$ when it is working, but $y$ when it
is faulty. Give the conditional probability table associated with
$G$.

4. Suppose the alarm works correctly unless it is faulty, in which case
it never sounds. Give the conditional probability table associated
with $A$.

5. Suppose the alarm and gauge are working and the alarm sounds.
Calculate an expression for the probability that the temperature of
the core is too high, in terms of the various conditional
probabilities in the network.