Isnt it best to evaluate the performance of any given AI system and subsytems based upon time or instructions executed to arrive at the most cost effective and optimal AI System?
I seem to prefer the instruction based system performance methodology. Then as platforms and systems change, the instructions usage should remain fairly constant. The reduction of one instruction might be a big big differnce as the system may do that same process billions of times. Can you tell me which, procedural vs declarative is less costly in machine instructions? Are they about the same? Is there much difference in executed code with regard to retriving KR and KB methods? Dan Goe ---------------------------------------------------- >From : Russell Wallace <[EMAIL PROTECTED]> To : agi@v2.listbox.com Subject : Re: [agi] procedural vs declarative knowledge Date : Mon, 5 Jun 2006 16:21:05 +0100 > On 6/3/06, Ben Goertzel <[EMAIL PROTECTED]> wrote: > > > > It's a little more than that (more than just speed optimization), > > because the declarative knowledge may be uncertain, but the procedure > > derived from it will often be more determinate... > > > I'm curious - how can a procedure be more certain than the declarative > knowledge from which it was derived? I would have thought that was logically > impossible, but maybe I'm misunderstanding you. > > ------- > To unsubscribe, change your address, or temporarily deactivate your subscription, > please go to http://v2.listbox.com/member/[EMAIL PROTECTED] ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/[EMAIL PROTECTED]
