On Fri, Apr 11, 2008 at 11:17 PM, Steve Richfield
<[EMAIL PROTECTED]> wrote:
>
> > Steve: If you're saying that your system builds a model of its world of
> > discourse as a set of non-linear ODEs (which is what Systems Dynamics is
> > bout) then I (and presumably Richard) are much more likely to be
> > interested...
>
>
> No it doesn't. Instead, my program is designed to work on systems that are
> not nearly enough known to model. THAT is the state of the interesting (at
> least to me) part of the real world.
>
> In short, I am apparently going where no one has gone before - applying new
> methods to solving difficult problems in poorly understood systems. I'll
> gladly leave the easy stuff (modeling well-understood systems) to others.
>

It's what AGI is arguably about: simulating complex processes that are
not directly and completely specified.

> BTW, there is a generally unrecognized principle (except to some experienced
> System Dynamics types), that the cause and effect chains are LONG and
> usually involve some lack of understanding among those who designed the
> systems that we must now deal with. Only the most arrogant would presume
> their own perfection in comparison with those who designed the world in
> which we live. Correcting that arrogance is THE primary benefit of System
> Dynamics, which forces people to code how the systems REALLY work (to make
> the simulations play like reality) and not just how they THINK that those
> systems work.
>
> Hence, simulational System Dynamics must be confined to systems whose
> operation can be observed or instrumented. Unfortunately, this lets out most
> of the REALLY important real-world problems, especially medicine, from
> simulated solution. That reasoning new cures for medical conditions that are
> unknown to the computer at once appears to be SO difficult, yet is
> relatively easy given the right approach, is why I/we chose chronic illness,
> the hardest part of medicine, as our demo.
>

Why does it follow? There is only a difference of degree. If you've
got a messy real-world problem, you know little, if you have an
algorithm giving the solution, you know all. The trick is to be able
to benefit from many intermediate grades of specification.

-- 
Vladimir Nesov
[EMAIL PROTECTED]

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agi
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