Another important lesson from SHRDLU, aside from discovering that the approach 
of hand coding knowledge doesn't work, was how long it took to discover this.  
It was not at all obvious from the initial success.  Cycorp still hasn't 
figured it out after over 20 years.
 
-- Matt Mahoney, [EMAIL PROTECTED]

----- Original Message ----
From: Charles D Hixson <[EMAIL PROTECTED]>
To: agi@v2.listbox.com
Sent: Sunday, November 5, 2006 4:46:12 PM
Subject: Re: [agi] Natural versus formal AI interface languages

Richard Loosemore wrote:
> ...
> This is a question directed at this whole thread, about simplifying 
> language to communicate with an AI system, so we can at least get 
> something working, and then go from there....
>
> This rationale is the very same rationale that drove researchers into 
> Blocks World programs.  Winograd and SHRDLU, etc.  It was a mistake 
> then:  it is surely just as much of a mistake now.
> Richard Loosemore.
> -----
Not surely.  It's definitely a defensible position, but I don't see any 
evidence that it has even a 50% probability of being correct.

Also I'm not certain that SHRDLU and Blocks World were mistakes.  They 
didn't succeed in their goals, but they remain as important markers.  At 
each step we have limitations imposed by both our knowledge and our 
resources.  These limits aren't constant.  (P.S.:  I'd throw Eliza into 
this same category...even though the purpose behind Eliza was different.)

Think of the various approaches taken as being experiments with the user 
interface...since that's a large part of what they were.  They are, of 
course, also experiments with how far one can push a given technique 
before encountering a combinatorial explosion.  People don't seem very 
good at understanding that intuitively.  In neural nets this same 
problem re-appears as saturation, the point at which as you learn new 
things old things become fuzzier and less certain.  This may have some 
relevance to the way that people are continually re-writing their 
memories whenever they remember something.

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