p(x_0 is low) = 0.3333333333
p(x_0 is med) = 0.3333333334
p(x_0 is high) = 0.3333333333

p(x_{t+1} is low | x_t is low) = 0.6
p(x_{t+1} is med | x_t is low) = 0.35
p(x_{t+1} is high | x_t is low) = 0.05
p(x_{t+1} is low | x_t is med) = 0.2
p(x_{t+1} is med | x_t is med) = 0.6
p(x_{t+1} is high | x_t is med) = 0.2
p(x_{t+1} is low | x_t is high) = 0
p(x_{t+1} is med | x_t is high) = 0.5
p(x_{t+1} is high | x_t is high) = 0.5

p(e_t is flooded | x_t is low) = 0
p(e_t is ~flooded | x_t is low) = 1
p(e_t is flooded | x_t is med) = 0.05
p(e_t is ~flooded | x_t is med) = 0.95
p(e_t is flooded | x_t is high) = 0.4
p(e_t is ~flooded | x_t is high) = 0.6