Each entry of the prediction array corresponds to one of the
actions, and is a sort of "best guess" at the payoff that will
be received if that action is taken by the system.  There are
several ways that one might calculate the entry for an action. I
have used the "fitness-weighted average" of the predictions of
the classifiers in [M] that advocate that action. This means:
(1) take the prediction of each such classifier and multiply it
by the fitness of that classifier; (2) add up these products;
(3) divide the sum by the sum of these same fitnesses. (4)
insert the resulting value into the prediction array at the
position corresponding to that action.  Thus classifiers that
have relatively high fitness will have their predictions count
for more in the average. This is a standard way of calculating a
weighted average.  As an example, the 42.5 in Figure 1 results
from (43 x 99 + 27 x 3)/(99 + 3).  (If, for one of the possible
actions, no classifiers in [M] advocate it, then "nil" goes in
the corresponding slot