On 5/1/07, Peter Voss <[EMAIL PROTECTED]> wrote:

Pei does research (great stuff, I might add). I personally think it a pity
that his approach is not part of any development project.

Peter: thanks for the comment, though I do consider myself as doing
development all the time --- as proof of concept, rather than as
commercial product, of course.

I fully agree that when developing a commercial product, you must
address certain practical problem.

My company, a2i2, spent many years in a research phase. Two years ago we
transitioned into a development company. We obviously still do research, but
it is now targeted at specific sub-problems, our overall AGI theory is in
place.

Lastly, in theory you could come up with a complete AGI design that was
quite agnostic about specific applications; plug in senses and actuators and
train the system (and/ or let in learn from its environment). Practically,
such an open-ended approach will suffer far too many inefficiencies, and is
unnecessarily hard. You really want the crucial feedback of practical
performance (or non-performance, as the case may be) to help guide any R&D.

I see your point. AGI is a hard problem, and each research project
must start from some place which is both important and manageable.
Different approaches have chosen to start from different places, which
is good for the field as a whole. Now it is too early to say which one
will work, though each of us has personal beliefs supporting a certain
priority order of tasks.

Pei

Peter Voss


-----Original Message-----
Subject: Re: [agi] The role of incertainty

On 5/1/07, Mike Tintner <[EMAIL PROTECTED]> wrote:
> Define the type of problems it addresses which might be [for all I know]
> *understanding and precis-ing a set of newspaper stories ....

Pei Wang replied:
>If one of the above problem is solved by an AGI system, it should be
>the result of learning of the system, rather than an innate capability
>built into the system. ...

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