Indeed, the strategy which has the greatest initial success globally, the probabilistic strategy with threshold 0, scores the lowest rate of success measured locally. Therefor, to find a local measure of success which correlates with global success, we must relate the raw local success rate to other locally measured quantities. Random Input per Success Rather than mearly measuring the total random number consumption of ants and the total rate of success, we can determine how much random-number consumption is required to obtain each success. This is done by dividing the total random number consumption in the interval by the number of successes. The results are shown in figure 8 .
All strategies initially require a large dose of random input for each success.
This dose decreases toward an equilibrium value for all strategies but for the probabilistic complexity-seeking strategy. In this case, random number consumption per success actually increases, after an initial decline. It also show sharp bursts toward large values. It would seem that these ants attempt to adapt to their maturing environment by investing increasingly more random input in each success. The rate of random number usage per success does not correlate well with the global success measure.