Hi again, On 9/11/06, Ben Goertzel <[EMAIL PROTECTED]> wrote:
> It follows that the AIXItl algoritm applied to friendliness would be > effectively more friendly than any other time t and space l bounded > agent. Yes, but the problem is that AIXItl, in order to run effectively, requires unpracticably massive amounts of space and time resources....
Assuming that AIXItl be effectively better at achieving its goal than any other agent with the same space and time resource limitations (t,l) would still make it the algorithm of choice no matter how computationally intense, as any other system given equal resources would come to a less optimal solution by definition.
Also, the theorems about AIXItl show that AIXItl would (if given goal G) be effectively better at achieving G than any other agent with the same space and time resource limitations (t,l), **within a constant factor**. This constant factor may be large
or small...
So the theorem is really only about how the effectiveness of AIXItl compares to the effectiveness of other systems as (t,l) becomes very large ...
Does your essay not focus on immensely complex decisions as main issue?
it doesn't tell you much about the situation for specific, realistic (t,l) values...
Since we assume that AIXItl is effectively better at achieving its goal than any other agent with the same space and time resource limitations the specific values for t and l do not matter. Do they?
In short: it's some pretty math with some conceptual evocativeness, but not of any pragmatic value...
I take your word for it since you obviously are an authority in the field but your logic is not apparent to me. Shane: I know you are working closely with Hutter - would you mind commenting on this? Cheers, Stefan -- Stefan Pernar App. 1-6-I, Piao Home No. 19 Jiang Tai Xi Lu 100016 Beijing China Mobil: +86 1391 009 1931 Skype: Stefan.Pernar ------- AGIRI.org hosts two discussion lists: http://www.agiri.org/email [singularity] = more general, [agi] = more technical To unsubscribe or change your options, please go to: http://v2.listbox.com/member/[EMAIL PROTECTED]
