On 19/04/2008, Ed Porter <[EMAIL PROTECTED]> wrote:
> WHAT ARE THE MISSING CONCEPTUAL PIECES IN AGI?
>

I'm not quite sure how to describe it, but this brief sketch will have
to do until I get some more time. These may be in some new AI
material, but I haven't had the chance to read up much recently.

Linguistic information and other non-inductive information integrated
into learning/modelling strategies, including the learning of
linguistic rules.

Consider an AI learning chess, it is told in plain english that
"Knights move two hops in one direction and one hop 90 degrees to
that".

Now our AI has learnt english so how do we hook this knowledge into
our modelling system, so that it can predict when it might lose or
take a piece because of the position of a knight?

Consider also the sentence, "There are words such as verbs, that are
doing words, you need to put a pronoun or noun before the verb".

People are given this sort of information when learning languages, it
seems to help them. How and why does it help them?

 Will Pearson

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