Sergio Navega wrote:
> It doesn't matter.
Good, it doesn't matter in my theory either.
> >By my theory, a brain that just happens to be well known for it's
> >parallel processing sends the input information trough all it's circuits
> >and then learns what output makes no connection with the environment and
> >then excludes those circuits and vice-versa (it can replug them, since
> >humans are known to forget things also).
> >
> >What's the problem making the AI then?
>> The problem is understanding precisely what kind of information
> processing is going on in the brain.
>> The questions that need answer are why we forget things, how we
> categorize objects and events, what is the effect of perception
> on thinking, and a dozen more intriguing questions...
Ok, but that all seem to be the problems of simulating specific
specialized parts in the brain, that does not need to be real AI and
will eventually be passed without any additional knowledge about the
brain. In fact some things that you've noted might not even exist in a
more realistic model of our brain (and activities in it), so you can cut
the list in half without missing something important. What I mean by
"making AI" is "making the actual AI part of the artificial brain" and
not everything else. Like making the part that can compare output if a
device with the environment and learn what makes use and what doesn't.
Ok, an example: I have 3 talk programs, each based on something else.
Now the user gives input to another program that sends that same input
to all 3 talk programs and the talk programs each throw out a different
response; what output to return to the user? What output is the right
one for the situation? How to decide that?
That is the program I am looking for, we already have at least 30
different and almost perfect programs to do the rest of the job.
BTW, and then we find each other making real AI programs just to prove
each other wrong.
--
On who's side I am? Well hard to say, since I only say what have I
learned.
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