On 18/04/2008, Pei Wang <[EMAIL PROTECTED]> wrote:
>
>  I believe AGI is basically a theoretical problem, which will be solved
>  by a single person or a small group, with little funding.

I'm not sure I believe this. After working on this a bit, it has become
clear to me that there are more ideas than there is time to explore
them all. Exploration is further hindered by a lack of software
infrastructure. There are no "lab facilities", no easy way to
perform high-level experiments.  I know certainly that I have some
high-level theoreies I want ot explore, but I can't even get started
due to the lack of infrastructure.

I think what Ben is trying to do is to provide those facilities by providing
OpenCog.  I think opeen-source programmers *can* help build this.
And, judging by the Google summer-of-code applications, many of
the students have a strong understanding of many of the basic concepts.

Richard wrote:
>.... Though it is unlikely to do so, because collaborative
open-source projects are best suited >to situations in which the
fundamental ideas behind the design has been solved.

>Just having a large gang of programmers on an open-source project
does not address Pei's >point about AGI being the "most complicated
problem in the history of science".

Yes, but a large gang of open source programmers can help build
the infrastructure.  Curing the Manhattan project, it may have been
Feynmann and von Neumann and Teller and Oppenheimer doing
all the thinking, but it sure wasn't them that built 42 acres of uranium
enrichment plants. This was done by large gangs.

The fundamental ideas behind Bayesian nets and whatever have
"been solved" but there is no way, not without a lot of work, to hook
Bayesian nets to english language parsers, or to any sort of predicate
reasoning systems, or knowledge representation systems or ontologies.

Doing such a  hookup is "scientifically straight-foward" and
"scientifically easy" but a huge pain-in-the-arse. Until this hookup is done,
we can't run experiments,. can't test theories, can't even get started on
solving the scientifically hard part of the problem.

--linas

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agi
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