Jef wrote:
As I see it, the present key challenge of artificial intelligence is to
develop a fast and frugal method of finding fast and frugal methods,
However, this in itself is not possible. There can be a fast method
of finding fast and frugal methods, or a frugal method of finding fast
and frugal methods, but not a fast and frugal method of finding fast
and frugal methods ... not in general ...
in
other words to develop an efficient time-bound algorithm for recognizing
and compressing those regularities in "the world" faster than the
original blind methods of natural evolution.
This paragraph introduces the key restriction -- "the world", i.e. the
particular class of environments in which the AI is biased to operate.
It is possible to have a fast and frugal method of finding {fast and
frugal methods for operating in environments in class X} ...
[However, there can be no fast and frugal method for producing such a
method based solely on knowledge of the environment X ;-) ]
One of my current sub-projects is trying to precisely formulate
conditions on the environment under which it is the case that
Novamente's particular combination of AI algorithms is "fast and
frugal at finding fast and frugal methods for solving
environment-relevant problems" .... I believe I know how to do so,
but proving my intuitions rigorously will be a bunch of work which I
don't have time for at the moment ... but the task will go on my
(long) queue...
-- Ben
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