The question remains of the limits of MB/GB size and resource 
requirements. 
Execution time for a given process.... 
There are limits...

Does anyone have any idea of the size of Executable code of fully 
developed AI System versus a seed AI system? 

Dan Goe
----------------------------------------------------
>From : Mike Dougherty <[EMAIL PROTECTED]>
To : agi@v2.listbox.com
Subject : Re: [agi] procedural vs declarative knowledge
Date : Fri, 2 Jun 2006 15:51:34 -0400
> On 6/2/06, Charles D Hixson <[EMAIL PROTECTED]> wrote:
> >
> >
> > Rule of thumb:  First get it working, doing what you want.  Then
> > optimize.  When optimizing, first check your algorithms,  then check 
to 
> > see where time is actually spent.  Apply extensive optimization only 
to 
> > the most used 10% (or less) of the code.  If you need to optimize more
> > than that, then you need to either redesign from the base, or get a
> > faster machine.
> >
> > Expect that you will need to redesign pieces so often while in
> > development that it's better to chose the form of code that's easiest 
to 
> > understand, redesign, and fix than to optimize it.  Only when
> > development is essentially complete is it time to give optimization 
for 
> > speed or size serious consideration.
> >
> 
> 
> That said, do you agree that some applications call for a 'ground up' 
build 
> mentality?  For example, adding "security" after an application is 
nearly 
> finished is usually a terrible approach (despite being incredibly 
common) 
> 
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