On Wed, Oct 3, 2012 at 6:14 PM, Loup Vaillant <[email protected]> wrote:
> Miles Fidelman a écrit :
>
>> Loup Vaillant wrote:
>>>
>>> De : Paul Homer <[email protected]>
>>>
>>>> If instead, programmers just built little pieces, and it was the
>>>> computer itself that was responsible for assembling it all together into
>>>> mega-systems, then we could reach scales that are unimaginable today.
>>>> […]
>>>
>>>
>>> Sounds neat, but I cannot visualize an instantiation of this. Meaning,
>>> I have no idea what assembling mechanisms could be used.  Could you
>>> sketch a trivial example?
>>>
>> You're thinking too small!  The Internet (networks + computers +
>> software + users), RESTful services, mashups, email discussion threads,
>> .... - great examples of emergent behavior.
>
>
> "Emergent"?  Beware, this words often reads "Phlogiston". (It's often
> used to "explain" phenomenons we just don't understand yet.)
>
> The examples you provided are based on static standards (IP, HTTP, SMTP
> —I don't know about mashups).  One characteristic of these standards
> is, they are _dumb_.  Which is the point, as intelligence is supposed
> to lie at the edge of the network (basic Internet principle that is at
> risk these times).
>
> Your idea seemed quite different.  I had the impression of something
> _smart_, able to lift a significant part of the programming effort.  I
> visualised some sort of self-assembling 'glue', whose purpose would be
> to assemble various code snippets to do our bidding.
>
> Note that we have already examples of such things.  Compilers, garbage
> collectors, inferential engines… even game scripting engines. But those
> are highly specialized. You seem to have in mind something more general.
> But what, short of a full blown AI?
>
> I see small because I see squat.  What kind of code fragments could be
> involved? How the whole system may be specified? You do need to program
> the system into doing what you want, eventually.
>
> Loup.
>
>
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Some kind of AI would be necessary to achieve a self organizing
growing and learning system.
And the system would need to be general enough to be used for a wide
variety of applications.

Geoffrey Hinton have shown some interesting results for image recognition:
https://www.coursera.org/course/neuralnets

Karl
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