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PREDICTIONS – 10 Years Later - Santa Fe Institute

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11. FORECASTING DESTINY<br />

which would have appealed only to naive city planners—was that all<br />

facilities are concentrated in the middle of the city. Another one was to<br />

have facilities distributed at random throughout the city. The first case<br />

gave an increase in energy spent of a factor of six; the second a factor of<br />

fifteen over the actual configuration.<br />

The city of Athens has been optimized naturally according to a simple<br />

energy-saving principle. The overall structure is highly ordered and<br />

scientifically describable but does not come in conflict with individual<br />

free will. Every Athenian can buy bread at any bakery in town, but most<br />

probably he or she will buy it at the nearest one. This is the key that<br />

makes the system work.<br />

Free will comes under a different light in another case of optimization,<br />

the closed-circuit car race. Consider a Formula One closed-circuit<br />

race. Without too much difficulty a scientifically minded person can<br />

write a computer program to optimize the driver’s decisions during the<br />

race. Among the data needed are the power of the car, the ratio of the<br />

gears, the total weight, the coefficient of friction between wheels and<br />

pavement, and the detailed circuit. Then some laws of physics must be<br />

built in: centrifugal forces, accelerations, and the like. That done, a<br />

printout can be produced that dictates the actions a driver must take to<br />

cover seventy laps of the circuit in the shortest possible time. After the<br />

race one may confront the winner with this action list and ask if he or<br />

she carried them out. The winner will claim, of course, that he or she<br />

was acting with free will but would have to agree that what is on the<br />

paper represents what was done; otherwise the winner would not have<br />

won.<br />

Optimization reduces free choice. From the moment one chooses to<br />

strive for the winning place there is not much freedom left. You must<br />

follow the list of optimized course actions as closely as possible. Thus,<br />

the winner’s actions and decisions are rather predictable, in contrast a<br />

driver who may be accident-prone or a Sunday driver who may decide<br />

to stop for an unpredictable reason such as observing a rare bird. Decisions<br />

that can be predicted in timing, quality, and quantity are no longer<br />

decisions; they are necessities dictated by the role assumed. If the racecar<br />

driver wants to be a winner, his only real choice is the one of<br />

making mistakes. There are many ways of making mistakes but only<br />

one way for doing it right, and that one can be forecasted.<br />

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