July 2001
Intermediate to advanced
576 pages
27h 16m
English
Content preview from Creative Evolutionary Systems
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14.4 Electronic Art
evolutionary algorithm generates generation after generation, which each are
tested and selectively reproduced.
Scientific studies have shown that such evolutionary algorithms can success-
fully evolve artificial neural networks to solve a range of different tasks, including
finding appropriate "brains" for the animats to solve their food-collecting task.
However, a major drawback with this approach is that, for each specific task,
a fitness function that determines the fitness score of the individuals has to be
designed and described in mathematical terms. In a sense, the mathematical
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.