So you mean compression, right?

When you say find the structure in s, you mean a compressed
representation that decompresses to s, right?


On Wed, Apr 17, 2013 at 11:09 AM, Alan Grimes <[email protected]> wrote:
> On Wed, Apr 17, 2013 at 2:48 AM, Sergio Donal <[email protected]> wrote:
>>>
>>> Please, could you explain it a little bit further?
>>> I do not understand it.
>
>
> Okay, that's fair.
>
>>> The premise is that the input is structured, why is structure important?
>
>
> Because that's where the useful information is.
>
>>> What is 'f'?
>>> Do you mean that 'f' is the intelligence-function, so intelligence is
>>> about finding the structure in the input?
>
>
> Yes.
>
>>> Why does 's' have to be a 'proper subset'? This point confuses me.
>
>
> Well, the AI is not omnicient. Furthermore the input might be ambiguous. So
> therefore 's' is the structure that is recoverable from the input.
>
>>> And also, what happens if the intelligence has some kind of structure
>>> itself (like memory from other derivations) so it is able to make sense of I
>>> and make it useful for solving a problem, even when I was just random?
>
>
> If I is random then 's' is null because there is no useful information.
>
> The function can trivially be made iterative by:
>
>                     f(I,s)    -->    s'
>
> Which is obviously an improvement...
>
> Now, how do you get AI?
>
> First you need input. There are two ways that this can be done, both should
> be applied.
>
> 1. Generate a structure at random and then generate an image or sound from
> it. (this way you have a known "gold standard" of the structure).
>
> 2. Use sound/pictures/videos from your CD/DVD collection and from around the
> web.
>
> Second, you need a way to feed this into f... I'm not exactly sure how this
> would be done.
>
>
> Third, you need to develop f...
>
>
> Fourth you need to take s' and compare it with the gold standard s too see
> if they're equivalent.
>
> Or, if you were using stock photos/videos/sounds etc, then you will have to
> use the recovered structure to attempt to re-generate the original. The
> success of your algorithm can then be measured by how closely the re-created
> data matches the input.
>
>>> I believe that I am missing the subject and object of the statement, like
>>> is the intelligence a property of someone who finds the structure in I, or
>>> something like that.
>
>
>>>> Given some structured input I, with structure S
>>>>
>>>> AI is defined as
>>>>
>>>>                  f(I) --> s
>>>>
>>>> where s is a proper subset of S that can be derived from I with minimal
>>>> ambiguity.
>>>>
>>>> This definition is partial but covers all forms of perception.
>
>
>
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