Forgot to add there is a large amount of syntactic and Word sense disambiguity, but there are some programs out there that handle that to a remarkable extent as well, and I believe can be improved upon.

And for many tasks, I dont see any reason not to have some back and forth feedback in the loop for the AI.

The "Smartest" response to the "I saw the man with the telescope." sentence to me would be simply:
AI: "Did you have the telescope or did the man?"
or "Was the man holding the telescope?"

James Ratcliff

James Ratcliff <[EMAIL PROTECTED]> wrote:
The AGI really does need to be able to read and write english or another natural language to be decently useful, people are just NOT goign to learn or be impressed with a machine that spurts out something incoherent (which they already can do)

It is suprising how little actuall semantic ambiguity there is in well written language such as news articles and such.  Especially when you take into account the statistical information of english.  It may occur, but not often.

The telescope/man example is the most ambigous, but even the other example:
"He hit the boy with the bat"
You can statistically show that "hitting with a bat" is statistically high, and assume it was the tool used.
If not, and even so, the AI should model both scenarios as possible.

Most of these ambiguities are removed though, with the additional context sentences around them, or people should just be trained to avoid these ambiguities in writing, but not another language indeed.

Even without the ambiguity of the texts discussed here, there is no easy formula for mapping english or other sentences directly into any sort of database, using FOL or any others.
This is something I am working on and am interested in currently.
I am currently seeing how many simple statements can be pulled from the current news articles into an AI information center.

James

Matt Mahoney <[EMAIL PROTECTED]> wrote:
Artificial languages that remove ambiguity like Lojban do not bring us any closer to solving the AI problem. It is straightforward to convert between artificial languages and structured knowledge (e.g first order logic), but it is still a hard (AI complete) problem to convert between natural and artificial languages. If you could translate English -> Lojban -> English, then you could just as well translate, e.g. English -> Lojban -> Russian. Without a natural language model, you have no access to the vast knowledge base of the Internet, or most of the human race. I know people can learn Lojban, just like they can learn Cycl or LISP. Lets not repeat these mistakes. This is not training, it is programming a knowledge base. This is narrow AI.

-- Matt Mahoney, [EMAIL PROTECTED]



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Thank You
James Ratcliff
http://falazar.com

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Thank You
James Ratcliff
http://falazar.com


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