Eric Baum wrote:
Ben> And, I'm not thinking to use such a list as the basis for
Ben> creating an AGI, but simply as a tool for assisting in thinking
Ben> about an already-existing AGI design that was created based on
Ben> other principles. My suspicion is that all the known and
Ben> powerful human inductive biases are already built into Novamente
Ben> in various ways,
I much doubt Novamente has the library of procedures that a Bee is
born with.
Correct. This is an apparent point of disagreement between us.
My own working hypothesis is that the hard-coded inductive biases needed
for achieving AGI
are at a higher level than, say, specific navigation routines.
As two, semi-random examples: We do build in a bias to look for patterns
among percepts that appear to
originate from physically nearby locations. And we build in a bias
toward imitative behavior. And
our program learning component has a bias for hierarchical learning that
will bias the system toward e.g.
learning recursive dynamic-programming-like algorithms for navigation
(but is still different than
supplying the system with navigation algorithms).
I think that the old book "Rethinking Innateness"
http://crl.ucsd.edu/~elman/Papers/book/index.shtml
got a lot of things right about the nature/nurture controversy. The
genome definitely encodes a lot of
biases that direct learning in appropriate directions, but my suspicion
is that you overestimate the
specificity and concreteness of the genetically inbuilt biases.
However, the Novamente architecture does in fact support import of more
specific biases
and code routines as you suggest. So, if you create them, we can plug
them in and see if
the Novamente learning mechanisms are able to take them as
building-blocks and utilize them
effectively.
Thus, I believe the Novamente architecture is going to be suitable for
experimenting with
both of our working hypotheses.
-- Ben
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