One of the key ideas underlying the NM design is to fully integrate
the top-down (logical problem solving and reasoning) based approach
with the bottom-up (unsupervised, reinforcement-learning-based
statistical pattern recognition) based approach.
SOAR basically lies firmly in the former camp...
-- Ben
On 7/12/06, Yan King Yin <[EMAIL PROTECTED]> wrote:
> (From a former Soar researcher)
> [...]
> Generally, the bottom-up pattern based systems do better at noisy pattern
recognition problems (perception problems like recognizing letters in
scanned OCR text or building complex perception-action graphs where the
decisions are largely probabilistic like playing backgammon or assigning
labels to chemical molecules). Top-down reasoning systems like Soar
generally do better at higher level reasoning problems. Selecting the
correct formation and movements for a squad of troops when clearing a
building, or receiving English instructions from a human operator to guide a
robot through a burning building.
> [...]
> Doug
From what I read, Soar also deals with (or has provisos to deal with)
sensory processing, otherwise it wouldn't be the "unified cognitive
architecture" as Allen Newell has intended it to be.
The difference in emphasis between Novamente on perceptual learning and Soar
on top-down reasoning, may be real but ideally it should not be accepted
prima facie . IMO these 2 emphases should be integrated seamlessly.
YKY ________________________________
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