Altheas, your attempted address of my comment, in no way refuted it. You simply attempted to brush it aside by admitting design with the “But” excuse! In fact, the “oversimplification” argument you are attempting to use is a rabbit trail you are trying to go down instead of actually addressing your fallacy.
As a side note: It's Athelas as in the herb used in the lord of the rings trilogy to heal Frodo after being stabbed by the fell blade.
Well, I have the same feeling about your equation of computer is designed so that's all there is to it conclusion of earlier. At least I'm trying to make an effort to explain myself and give examples. Feel free to explore the genetic algorythm and prove me wrong.
The “programmers” (programmers by definition use “a system of procedures or activities that has a specific purpose”) input information into a system in order to achieve a particular outcome. IF they don’t get the predicted outcome, they correct the programming or mechanism until they DO get the intended outcome. In other words, if you open your Dell computer and wait for a predicted outcome; if you don’t get the predicted outcome, you either fix your computer, OR you send it in to get fixed. You don’t accept “randomness” in the application of your computers output, you want a determinate outcome.
Interesting that you are trying to tell me what I do for a living.
"IF they don’t get the predicted outcome, they correct the programming or mechanism until they DO get the intended outcome."
In some cases like visualisations or mathematical calculations, yes you do (you can do this because you can calculate what you should get on your screen). In the case of behaviour, certainly in complexer systems, you cannot always predict an outcome and you will debug a part of the program (see what it does during runtime depending at the values of the variables during that run).
" if you open your Dell computer and wait for a predicted outcome"
What does that even mean?
The outcome, the result, isn't predicted in the case of genetic algorythm. There are conditions set (fitness condition) but how the population survives that condition isn't predicted in advance and more than one outcome is possible.
"You don’t accept “randomness” in the application of your computers output, you want a determinate outcome. "
There is randomness in the mechanisms of the genetic algorythm (if you do not believe me, I once again urge you or anyone else to simply not take my word for it but look it up). The output while not predicted, has to fulfill the fitness condition either fully or to some acceptable degree. But what that outcome is, doesn't matter.