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PREDICTIONS – 10 Years Later - Santa Fe Institute

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1. SCIENCE AND FORETELLING<br />

associated with a curve that is markedly similar to the S-curve described<br />

in the previous chapter. Learning begins slowly, proceeds rapidly during<br />

the middle of the process (the steep rise of the S-curve representing the<br />

cumulative amount of learning achieved), and slows<br />

down some time later. At the end, and as the S-curve reaches its ceiling,<br />

the rate of learning ceases altogether. Learning curves are usually used<br />

only in a qualitative way. The intriguing question is whether learning is<br />

governed by the law of natural growth under competition, in which case<br />

it should obey the logistic mathematical function quantitatively also.<br />

During the early phases of a certain activity, repetition accelerates<br />

learning. The more you do something, the faster you can do it the next<br />

time around. The rate of increase in learning seems to be more rapid<br />

than simply proportional to the number of repetitions. Imagine that you<br />

are sitting in front of a typewriter for the first time. Even though all the<br />

letters are clearly labeled, it will take a while before you can type your<br />

name. The third time you type your name, however, you will probably<br />

do it more than three times faster than the first time. This early exponential<br />

growth of learning corresponds to the first bend of the S-curve.<br />

Soon, however, you reach a point where the rate of improvement in<br />

speed slows down. You are exhausting the capabilities of your muscle<br />

reactions. You may want to improve on that, but it will be a slow painful<br />

process with diminishing returns.<br />

In other forms of learning, you may find that you are exhausting the<br />

amount of learning which can be achieved before you reach the limit of<br />

your capabilities. For example, you can improve your performance at<br />

playing tick-tack-toe through repetitions up to the point at which you<br />

have mastered the game. From then onward, further improvement becomes<br />

impossible, no matter how much you practice. Not so with chess;<br />

here the number of configurations is so vast that they can be considered<br />

inexhaustible. What becomes exhausted is your ability to retain an increasingly<br />

larger number of configurations in your mind. You may also<br />

become exhausted physically or even exhaust the time available for<br />

playing chess. In all cases learning will slow down and the final level of<br />

achievement will vary from one individual to another.<br />

The slowing down of the learning process as one approaches the<br />

saturation level results in the second bend of the S-curve. The ultimate<br />

reason for this slowdown is some form of competition, be it for the use<br />

of one’s time, energy, or physical capabilities. The rate at which you are<br />

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