This is actually a great example of why we should not try to write AGI as
something able to solve any possible problem generally. We, strong ai
agents, are not able to understand this sentence without quite a lot more
information. Likewise, we shouldn't expect a general AI to try many
possibilities until it is able to solve such a maliciously constructed
sentence. There isn't explanatory reason to believe most of the possible
hypotheses. We need more information to come up with possible hypotheses,
which we can then test out on the sentence and confirm. That' why our
additional knowledge from the blog is the only way we can reasonably
disambiguate the sentence. Normal natural language disambiguation is similar
in that way.

Dave

On Fri, Jul 16, 2010 at 11:29 AM, Matt Mahoney <[email protected]> wrote:

> That that that Buffalo buffalo that Buffalo buffalo buffalo buffalo that
> Buffalo
> buffalo that Buffalo buffalo buffalo.
>
>  -- Matt Mahoney, [email protected]
>
>
>
> ----- Original Message ----
> From: Mike Tintner <[email protected]>
> To: agi <[email protected]>
> Sent: Fri, July 16, 2010 11:05:51 AM
> Subject: Re: [agi] NL parsing
>
> Or if you want to be pedantic about caps, the speaker is identifying 3
> buffaloes from Buffalo, & 2 from elsewhere.
>
> Anyone got any other readings?
>
> --------------------------------------------------
> From: "Jiri Jelinek" <[email protected]>
> Sent: Friday, July 16, 2010 3:12 PM
> To: "agi" <[email protected]>
> Subject: [agi] NL parsing
>
> > "Believe it or not, this sentence is grammatically correct and has
> > meaning: 'Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo
> > buffalo.'"
> >
> > source: http://www.mentalfloss.com/blogs/archives/13120
> >
> > :-)
> >
> >
> > -------------------------------------------
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