Stephen Reed wrote:
Everyone knows that perception is the result of a combination of pickup
(bottom-up processing) and expectation (top-down processing). There are
many, many ways to implement this idea.
Richard,
Thanks for describing perception, in the same fashion that I believe is
explained by James Albus in his design for intelligent systems. I'm
adopting that for Texai. For example, in discourse, a received
utterance is perceived and comprehended in a context that is rich with
expectations drawn from the previous utterances and the common ground
(shared knowledge) of the participants.
Yes, I agree that Albus is interesting. I am superficially familiar
with his approach.
From my point of view I see only one problem with his attack on the
task of building a complete AGI: he has done an "early binding" of his
architecture to a specific implementation, leaving himself no empirical
wiggle-room.
I say this, of course, because of my commitment to solving the complex
systems problem. Where he commits himself to a calculus of thought, I
see the need to construct a calculus-of-thought *generator* that defines
a space in which one choice of "calculus of thought" is a single point
in that space.
One way to sum up my ("theoretical psychology") approach is to say that
what I am doing is trying to build generators that produce spaces that
contain the human cognitive system and its neigborhood. Then, the
method is something like Monte Carlo on steroids.
Are you planning to implement a big chunk of Albus' approach in Texai,
or do you just mean that you are adopting just the perception ideas?
Richard Loosemore
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agi
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