Robert,
Thank you for your time. I am not a scientist nor do I have an
opinion or agenda on weather a successful AGI can be built. I am
just really curious and exited about the prospects.
On Jan 7, 2008, at 12:39 PM, Robert Wensman wrote:
2008/1/7, David Butler <[EMAIL PROTECTED]>:
How would an AGI choose which things to learn first if given enough
data so that it would have to make a choice?
This is a simple question that demands a complex answer. It is like
asking "How can a commercial airliner fly across the Atlantic?".
Well, in that case you would have to study aerodynamics, mechanics,
physics, thermodynamics, computer science, electronics, metallurgy
and chemistry for several years, and in the end you would discover
that one single person cannot understand such a complex machine in
its entire detail. True enough, one person could understand all
basic principles for such a system, but explaining them would
hardly suffice as evidence that it would actually work in practice.
If you lived in the medieval times, and someone asked you "how is
it possible to cross the Atlantic in a flying machine carrying
several hundred passengers?", what would you answer? Even if you
had the expertise knowledge it would be very hard to explain
thoroughly, just because the machine is so complex and you would
have to explain every technology from the beginning. Where would
you start? Maybe some person with less insight would interrupt you
after a few sentences and say "well, clearly you cannot present
evidence that it will ever work" and make fun of the idea, but how
does insufficient time/space to explain a complex system prove that
something is not possible?
The same goes for AGI, for example when someone asks "how can we
create a program that is creative and can choose what to learn?".
In response to this it is possible to present a lot of different
principles, such as adaptability, genetic programming, quelling of
combinatorial explosions etc. But will the principles work in
practice when put together? Well, at this stage we simply cannot
tell. So every person just has to make a choice in whether to
believe it is possible, or whether to believe it is not possible.
But just because no AGI researcher can answer that question in a
few words. "how can we create a programs that is creative and can
choose what to learn", it doesn't mean it is not possible when all
these principles come together. We just have to wait and see.
To those who do not believe: Please just go away from this mailing
list and do not interfere with the work here. Don't demand proof
that it would work, because when we have such proof, i.e. a
finished AGI system, we wont need to defend our hypothesises anyway.
If two AGI's (again-same
hardware, learning programs and controlled environment) were given
the same data would they make different choices?
Is a deterministic system deterministic? I do not understand what
you are getting at. Why this question? I think Benjamin answered
this question pretty thoroughly already.
/Robert Wensman
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