John Nilsson <j...@milsson.nu> writes:

> I read that post about constraints and kept thinking that it should be
> the infrastructure for the next generation of systems development, not
> art assets :)
>
> In my mind it should be possible to input really fuzzy constraints
> like "It should have a good looking, blog-like design"
> A search engine would find a set of implications from that statement
> created by designers and vetted by their peers. Some browsing and
> light tweaking and there, I have a full front-end design provided for
> the system.
>
> Then I add further constraints. "Available via http://blahblah.com/
> and be really cheap", again the search engine will find the implied
> constrains and provide options among the cheaper cloud providers. I
> pick one of them and there provisioning is taken care of.
>
> I guess the problem is to come up with a way to formalize all this
> knowledge experts are sitting on into a representation usable by that
> search engine. But could this not be done implicitly from the act of
> selecting a match after a search?
>
> Say some solution S derived from constrains A,B,C is selected in my
> search. I have constraint A,B and D as input. By implication the
> system now knows that S is a solution to D.

Right.  Just a "simple" applicaition of AI and all the algorithms
developed so far.  You just need to integrate them in a working system.


And who has the resources to do this work: it seems to me to be a big
endeavour.  Collecting the research "prototype" developed during the
last 50 years, and develop a such a product.

Even Watson or Siri would only represent a small part of it.


-- 
__Pascal Bourguignon__                     http://www.informatimago.com/
A bad day in () is better than a good day in {}.
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