I haven't implied that any of the above are planned. You misunderstand my objections to the GA. They incorporate intelligence in the program by the knowledge we put into them, that is one issue and although they are random this is based on optimization.
Which is an invalid objections.
As I have explained.
And the explanation is simply: according to that logic,
every single scientific experiment is invalid. Because every experiment must be "set up", using intelligence.
And that's also why I keep coming back to the freezer.
Building a freezer requires intelligence as well.
You are just extremely mistaken about what this means (or rather: does NOT mean).
Secondly and most importantly, it is not a true representation of biological evolution. That is where you are not understanding the issue.
It is a true representation of the
process of evolution.
That's another distinction that you don't comprehend.
Now I want to present another person who is not a theist, is a biochemist and who understands evolution and who has no motivation in this discussion:
WEDNESDAY, JUNE 17, 2015
It's funny, because this is incorporated in GA's.
In the field of GA, there are several selection strategies possible.
One of them is to only breed
exclusively with the top X individuals in terms of fitness.
There are strategies, where this is more probability based.
Meaning that less fit creatures also have a chance of reproducing and thus passing on their genes.
A recent article in
Nature reminded me of the importance of definitions. The article discusses evolution and evolutionary algorithms in a special issue on machine learning (Eiben and Smith, 2015). I think we all know that "evolutionary" algorithms are based on natural selection and we all know that there's more to evolution than just adaptation. It's too late to change the name of these procedures in computer science but at the very least I expect computer scientists to be aware of the difference between their procedures and real evolution.
In this paper, there's a section on "how evolutionary computation compares with natural evolution." The authors consistently use "evolution" as a synonym for "selection" or "adaptation" and they seem to be unaware of any other mechanism of evolution.
In one sense, it's okay to conflate "evolution" and "adaptation" in computer science but if that error reflects and perpetuates a fundamental misunderstanding of the nature of real biological evolution then perhaps it's time to rename these algorithms "adpatation algorithms."
http://sandwalk.blogspot.com/2015/06/evolutioanary-algorithms-are-really.html
Learn about evolution.
There's nothing in there that contradicts anything I have said.
Nothing stops you from introducing additional mechanisms to GA to further mimmic actual natural evolution.
Meanwhile, the core principles of the
process are what they are. Not to mention that adding more mechanisms only adds unnecessary complexity.
As I have also repeatedly stated, in a GA, you want to reduce it to only the core essentials. Why would you make it more complicated then it needs to be? You could, but there would be no point.
And meanwhile, we continue to dance around the actual point that was being made:
the appearance of deliberate design can be accomplished through a blind process and thus does not have to mean that this "appearance of design" IS actual design - as you have been saying for months.