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[quote=Anonymous][quote=Anonymous][quote=Anonymous]Your brain analogy is problematic. [b]Random[/b] mutation is exactly how natural selection works. And the dame with neural networks. What you are missing is that if[b] successful random changes[/b] propagate via a[b] feedback loop [/b]then great things can come out of randomness.

and

You're talking in extremes, OP. The brain was [b]not thrown together[/b] as a matter of[b] chance[/b]. [b]It was built[/b][size=18] [/size] by genetic code from billions of years of natural selection and evolution.

and

Billions of years of[b] chances [/b]and natural selection is[b] not the same as one roll[/b] of the dice. It's possible that dinosaurs would still rule the earth if there wasn't a single, [b]random[/b] incident that killed them off.

and

This is not tough stuff people. There are high school students using genetic algorithms to solve problems. Lots of[b] random changes[/b] to lots of algorithms and [b]reward[/b] superior algorithms with the chance to propagate. Over millions of iterations, complex problems[b] can be solved [/b]with no great design.

[/quote]

In this series of comments, randomness and chance are emphasized.

But there is also talk of systems, with rewards and punishments, success and failure.

Finally, there is an acknowledgement that even mere high school students can solve problems of chance.  I assume those students have brains, with some intelligence in those brains, and they use those brains, and that intelligence, to discover the patterns and the solutions that emerge from randomness and chance?
[/quote]

No, a brain is not needed to discover any patterns that emerge in genetic algorithms or neural networks.  That is the beauty of it.  All you do is create an enviroment in which algorithms that are successful get to reproduce (in genetic algorithms) or neural pathways that solve problems get reinforced.  There is no brainpower applied to the actual problem.[/quote]

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