Ben,  Thanks,  I think Mark is raising some interesting issues.  I may not
agree with him on all of them but it is good to have your ideas tested by
intelligent questioning.  Ed

-----Original Message-----
From: Benjamin Goertzel [mailto:[EMAIL PROTECTED]
Sent: Monday, November 12, 2007 11:37 AM
To: agi@v2.listbox.com
Subject: Re: [agi] What best evidence for fast AI?




Ed --

Just a quick comment: Mark actually read a bunch of the proprietary,
NDA-required Novamente documents and looked at some source code (3 years
ago, so a lot of progress has happened since then).  Richard didn't, so he
doesn't have the same basis of knowledge to form detailed comments on NM,
that Mark does.

-- Ben


On Nov 12, 2007 11:35 AM, Edward W. Porter <[EMAIL PROTECTED]> wrote:


I'm sorry.  I guess I did misunderstand you.

If you have time I wish you could state the reasons why you find it
lacking as efficiently as has Mark Waser.

Ed Porter


-----Original Message-----
From: Richard Loosemore [mailto:[EMAIL PROTECTED]
Sent: Monday, November 12, 2007 11:20 AM
To: agi@v2.listbox.com
Subject: Re: [agi] What best evidence for fast AI?



Edward W. Porter wrote:
> Richard Loosemore wrote in a Sun 11/11/2007 11:09 PM post
>
>
>>RICHARD####> You are right.  I have only spent about 25 years working
>>on
> this
> problem.  Perhaps, no matter how bright I am, this is not enough to
> understand Novamente's promise.
>
> ED####> There a many people who have spent 25 years working on AI who
> have not spent the time to try to understand the multiple threads that
> make up the Novamente approach.  From the one paper I read from you, as
> I remember it, your major approach to AI was based on a concept of
> complexity in which it was hard-for-humans-to-understand the
> relationship between the lower level of the system and the higher level
> functions you presumably want it to have.  This is very different than
> the Novamente approach, which involves complexity, but not so much at an

> architectural level, but rather at the level of what will emerge in the
> self-organizing gen/comp network of patterns and behaviors that
> architecture is designed to grow, all under the constant watchful eye --

> and selective weeding and watering -- of its goal and reward systems.
> As I understand it, the complexity in Novamente is much more like that
> in an economy in which semi-rational actors struggle to find and make a
> niche at which they can make a living, than the somewhat more anarchical

> complexity in the cellular automata Game Of Life.

I am sorry, but this is a rather enormous misunderstanding of the claim
I made.  Too extensive for me to be able to deal with in a list post.

>
> So perhaps you are like most people who have spent a career in AI, in
> that the deep learning you have obtained has not spend enough time
> thinking about the pieces of Novamente-like approaches.  But it is
> almost certain that that 25 years worth of knowledge would make it much
> easier for you to understand Novamente-like approach than all but a very

> small percent of this planet/s people, if you really wanted to.
>
>> >ED####> I am sure you are smart enough to understand its promise if
> you wanted to.  Do you?
>
>>RICHARD####> I did want to.
>
> I did.
>
> I do.
>
> ED####> Great. If you really do, I would start reading the papers at
> ___http://www.novamente.net/papers/_.  Perhaps Ben could give you a
> better reading list than I.
>
> I don't know about you, Richard, but given my mental limitations, I
> often find I have to read some parts of paper 2 to 10 times to
> understand them.  Usually much is unsaid in most papers, even the well
> written ones. You often have to spend time filling in the blanks and
> trying to imagine how what its describing would actually work.  Much of
> my understanding of the Novamente approach not only comes from a broad
> range of reading and attending lectures in AI, micro-electronic, and
> brain science, but also a lot of thinking about what I have read and
> heard from other, and about what I have observed over decades of my own
> thought processes.

There is a fundamental misunderstanding here, Ed.  I read all of the
Novamente papers a couple of years ago.  My own thinking had already
gone to that point and (in my opinion) well beyond it.

You are implying that perhaps I do not understand it well enough.  I
understand it, understand a very wide range of issues that surround it,
and also understand what i see as some serious limitations (some of
which are encapsulated in my complexity paper).

Thanks for your concern, but understanding the Novamente approach is not
my problem.

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