Wygenerowano:
21.03.2019
08:39:23

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algorytm genetyczny

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Treść Tytuł Autor(zy) Ident / Data wpisu
The key input to a genetic algorithm, as Holland's creation came to be known, is a fitness function. Given a candidate program and some purpose it is meant to fill, the fitness function assigns the program and some purpose it is meant to fill, the fitness function assigns the program a numeric score reflecting how well it fits the purpose. In natural selection, it's questionable whether fitness can be interpreted this way: while the fitness of wing for flight makes intuitive sense, evolution as a whole has no known purpose. The Master Algorithm Domingos, Pedro 9780141979243:123

10.02.2019
Some years ago, Dawkins wrote a famous GA software program to demonstrate how Darwinian evolution might successfully work. He entered the following random string of letters into the program.

WDLTMNLT DTJBKWIRZREZLMQCO P

One letter at a time, his program evolved this string of letters. After only 43 iterations, by randomly changing letters and deleting results it didn’t want, the program reached its preprogrammed goal of the following sentence:

METHINKS IT IS LIKE A WEASEL

This was heralded as a success. However, Dawkins’ software program was programmed to compare each new sentence to the goal sentence and either select it for continued “mutation” or reject it based on whether it more closely resembled the goal than the previous mutation. But his very own “1.0” Darwinian evolution explicitly forbids preprogrammed goals! So Dawkins’ “Weasel” experiment had nothing to do with the true Neo-Darwinism.

Evolution 2.0 Marshall, Perry 9781944648756:222

24.02.2019