On 11/2/07, Linas Vepstas <[EMAIL PROTECTED]> wrote:
> On Fri, Nov 02, 2007 at 10:34:26PM +0300, Vladimir Nesov wrote:
> > On 11/2/07, Linas Vepstas <[EMAIL PROTECTED]> wrote:
> > > On Fri, Nov 02, 2007 at 08:51:43PM +0300, Vladimir Nesov wrote:
> > > > But learning problem isn't changed by it. And if you solve the
> > > > learning problem, you don't need any scaffolding.
> > >
> > > But you won't know how to solve the learning problem until you try.
> >
> > Until you try to solve the learning problem. How scaffolding-building
> > can help in solving it?
>
> My scaffolding learns. It remembers assertions you make, and it will
> parrot them back. It checks to see if the assertions you make fits into
> its beleif network before it actually commits them to memory.
>
> It can be told things like "aluminum is a mass noun", and then will start
> using "aluminum" instead of "the aluminum" or "an aluminum" in future
> sentences.
>
> Sure, I hard-coded the part where "mass nouns don't require an article",
> that's part of the scaffolding. But that's temporary. That's because
> the thing isn't yet smart enough to understand what the sentence
> "mass nouns don't require an article" means.
What I meant is to extract learning and term the rest 'scaffolding'.
In this case, what system actually learns is tagging of terms
('aluminum') with other terms ('is-a-mass-noun'), and this tagging is
provided directly. So it only learns one term->term mapping, which is
coded in explicitly through textual interface (scaffolding) when you
enter phrases like "aluminum is a mass noun". It's hardly a
perceptible step in learning dynamics prototyping.
--
Vladimir Nesov mailto:[EMAIL PROTECTED]
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