2008/5/10 Richard Loosemore <[EMAIL PROTECTED]>:

>
> This is still quite ambiguous on a number of levels, so would it be possible
> for you to give us a road map of where the argument is going? At the moment
> I am not sure what the theme is.

That is because I am still ambiguous as to what the later levels are.
A fair amount depends upon the application. For example If you are
trying to build an AI for jet plane you need to be a lot more careful
in how the system explores.

I have in my mind a number of things I can't do with current computers
and would like to experiment with.

1) A system that has programs  that can generate a new learning
program dependent upon the inputs it received. The learning program
would have inputs either from the outside, the outputs of other
learning programs or the value of other learning programs. It would
use a variable number of resources. The outputs could be to learning
systems, or it could be the generation of a new learning program.
Self-maintenance is required to rate and whittle down the learning
programs. The learning program could be anything from a SVM to a
genetic programming system.

2) A system similar to automatic programming that takes descriptions
in a formal language given from the outside and potentially malicious
sources and generates a program from them. The language would be
sufficient to specify new generative elements in and so extensible in
that fashion. A system that cannot maintain itself trying to do this
would quickly get swamped by viruses and the like.

I'd probably create a hybrid of the two, but I am fully aware that I
don't have enough knowledge to discount other approaches. Once I have
got the system working to my satisfaction (both experimentally and by
showing that being good is evolutionarily stable and I have minimised
tragedy of the commons type failures), I'll go on to study more about
higher level problems. I have the (slight) hope that other people will
pick up my system and take it places I can't currently imagine.

  Will Pearson

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agi
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