Hi Bob,

You said:

The human mind actually doesn't scale all that well (just look at how
dysfunctional large corporations or government agencies can become)

I am relying on the contrary for ultimately deploying a vast multitude of 
collaborating Texai instances.  Like James Albus, I believe that a hierarchical 
control system is an architecture for intelligent systems.  Furthermore, I want 
to situate Texai agents within human-like organizations, at first by simply 
providing helpful proxies for the human participants in existing human 
organizations.

Unlike yourself, who observes dysfunctional anomalies for some large 
enterprises, in contrast I am comforted by the degree of achievement that a 
large team obtains when working in concert.  A salient example is the design, 
testing, and production of a modern microprocessor by Intel, AMD or IBM.  
Imagine the organization chart of such a team.  What are the roles and the 
reporting structure?  What formal and informal hierarchies exist?  How are the 
standard operating procedures revised?  How are bottlenecks identified and 
overcome?  

I believe that the study of human organizations is very pertinent to 
large-scale AGI.  Perhaps the dysfunctions you observe can thus be prevented in 
large-scale AGI.

Cheers.
-Steve

 Stephen L. Reed


Artificial Intelligence Researcher
http://texai.org/blog
http://texai.org
3008 Oak Crest Ave.
Austin, Texas, USA 78704
512.791.7860



----- Original Message ----
From: Bob Mottram <[EMAIL PROTECTED]>
To: [email protected]
Sent: Monday, May 5, 2008 5:02:28 PM
Subject: Re: [agi] AGI-08 videos

I was just watching Ben's AGI-08 presentation on neural nets
(http://video.google.co.uk/videoplay?docid=8672459372566545966) and
this does seem like an interesting and novel idea as far as I know.  I
hope Hugo de Garis was taking notes because that could be something
which he might be able to build an architecture around.

The human mind actually doesn't scale all that well (just look at how
dysfunctional large corporations or government agencies can become)
and most of us have only a small working memory capacity (as in the
magical number seven plus or minus one).  I wonder whether there are
any hyperspherical properties of combinator trees built from neural
relays.

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