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Author Topic:   What is an ID proponent's basis of comparison? (edited)
Peepul
Member (Idle past 5036 days)
Posts: 206
Joined: 03-13-2009


Message 8 of 315 (516285)
07-24-2009 12:54 PM
Reply to: Message 7 by Smooth Operator
07-24-2009 12:37 PM


The basis is the already know origin of specified complexity.
I'd like to challenge this on two fronts:
When you say 'already known' I take it you mean 'we know that all specified complexity must be created by a designer'. But you can't take this as your start point - this is what ID has to demonstrate, based on evidence.
Use of evolutionary techniques in generating Robot control algorithms, electronic circuits, animal gait models etc shows that information that specifies these things can be generated by exactly the same methods as evolution itself uses (mutation, selection, reproduction). This shows that the concept of specified complexity is in principle not a problem for the evolutionary approach.
So there is good evidence against your position.

This message is a reply to:
 Message 7 by Smooth Operator, posted 07-24-2009 12:37 PM Smooth Operator has replied

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 Message 9 by Smooth Operator, posted 07-24-2009 1:28 PM Peepul has not replied

Peepul
Member (Idle past 5036 days)
Posts: 206
Joined: 03-13-2009


Message 118 of 315 (516734)
07-27-2009 8:07 AM
Reply to: Message 69 by Smooth Operator
07-24-2009 8:46 PM


It seems that an assertion you're making, Smooth, is that evolutionary algorithms can't produce new complex specified information, because they are programmed in advance by humans, even their 'random' components...
But it's not random. It's programmed. Whatever the time is, and whatever the number the generator get, the result is always the same. It's much more complex than without the random number generator, but it's still the same. Just because it's heavier to visualise it, and it seem like the robot is acting randomly, it doesn't mean it is. Because we know that it is beaing led by it's programming.
... and therefore the information is already implicit in the algorithm.
Now, I disagree with what you say here, but I'll put that on hold until I understand your position better as it may not be important.
My question: Does this limitation on evolutionary algorithms, in your view, apply to algorithms more generally? i.e. can any algorithms produce new complex specified information? If they can, which ones can and which ones can't? How do we tell the two kinds apart?
If no algorithms can generate CSI, then it would imply that 'complex specified information' is in technical terms non-computable. This would have interesting implications.
Edited by Peepul, : No reason given.

This message is a reply to:
 Message 69 by Smooth Operator, posted 07-24-2009 8:46 PM Smooth Operator has replied

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 Message 131 by Smooth Operator, posted 07-27-2009 2:34 PM Peepul has not replied

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