It was mainly centered aroudn a small test environment (the block world)
and being able to create an interface that would allow the user to speak and be answered in a natural language.
And in that goal it seemed to succeed fairly admirably.
When we look at throwing the rest of the world into the simulation, we of course get problems, but that is understandable I believe.
But this is a Type of goal that we would like to have (I think) is the ability in a much larger dynamic world environment to be able to talk and interact with the AI and have it understand you and be able to answer you.
And as far as knowledge engineering (aka Cyc and others) it DOES work. The problem is just the size and complexity.
I just finished a class here on Knowledge Engineering, and they worked on a project that allows you to do that and works very well on limited domains.
One of the main drawbacks to the KE is the massive work-hours involved to get a decent knowledge base. and the limited scope of any of them.
But the blocks world did show some sophisticated behavior for what it was:
Person: PICK UP A BIG RED BLOCK.
Computer: OK.
Person: GRASP THE PYRAMID.
Computer: I DON'T UNDERSTAND WHICH PYRAMID YOU MEAN.
Person (changing their mind): FIND A BLOCK WHICH IS TALLER THAN THE ONE YOU ARE HOLDING AND PUT IT INTO THE BOX.
Computer: BY "IT", I ASSUME YOU MEAN THE BLOCK WHICH IS TALLER THAN THE ONE I AM HOLDING.
Computer: OK.
Person: WHAT DOES THE BOX CONTAIN?
Computer: THE BLUE PYRAMID AND THE BLUE BLOCK.
Person: WHAT IS THE PYRAMID SUPPORTED BY?
Computer: THE BOX.
Person: HOW MANY BLOCKS ARE NOT IN THE BOX?
Computer: FOUR OF THEM.
Person: IS AT LEAST ONE OF THEM NARROWER THAN THE ONE WHICH I TOLD YOU TO PICK UP?
Computer: YES, THE RED CUBE.
including reason and memory and ambiguity.
James Ratcliff
Matt Mahoney <[EMAIL PROTECTED]> wrote:
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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Thank You
James Ratcliff
http://falazar.com
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