Re: [agi] CopyCat

2008-12-17 Thread Richard Loosemore

Vladimir Nesov wrote:

On Wed, Dec 17, 2008 at 6:03 PM, Ben Goertzel b...@goertzel.org wrote:

I happened to use CopyCat in a university AI class I taught years ago, so I
got some experience with it

It was **great** as a teaching tool, but I wouldn't say it shows anything
about what can or can't work for AGI, really...



CopyCat gives a general feel of self-assembling representation and
operations performed on reflexive level.  It captures intuitions about
high-level perception better than any other self-contained description
I've seen (which is rather sad, especially given that CopyCat only
touches on using hand-made shallow multilevel representations, without
inventing them, without learning). Some of the things happening in my
model of high-level representation (on the rights of description of
what's happening, not as elements of model itself) can be naturally
described using lexicon from CopyCat (slippages, temperature,
salience, structural analogy), even though algorithm on the low level
is different.



I agree with your sentiments about CopyCat (and its cousins).  It is not 
so much that it delivers specific performance by itself, so much as it 
is a different way to think about how to do such things:  an inspiration 
for a whole class of models.  It is certainly part of the inspiration 
for my system.


Sounded to me like Ben's initial disparaging remarks about CopyCat were 
mostly the result of a BHDE (a Bad Hair Day Event).  It *really* is not 
that useless.





Richard Loosemore



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[agi] CopyCat

2008-12-17 Thread Vladimir Nesov
[repost from opencog list; I should've posted it on AGI in the first
place, instead of opencog]

On Wed, Dec 17, 2008 at 7:01 AM, Ben Goertzel b...@goertzel.org wrote:

 First thing: CopyCat doesn't work.  Not just in the sense that it's not AGI
 ... in the sense that it can't even solve hardly any of the simple, narrow
 analogy problems it was designed to solve.   It's basically a
 non-operational thought experiment.   Run the code yourself and see, there
 are some online versions  It occasionally solves some simple problem,
 but most of Hofstadter's simple analogy problems, it just will never
 solve...

 And, there is no coherent theory backing up why a Copycat-like system would
 ever work.


Do you mean that examples that Hofstadter/Mitchell used in their
papers for CopyCat did not in fact work on their codebase? I remember
downloading second copycat implementations (in Java IIRC), it seemed
to be working. Besides, they don't claim anything grandiose for this
model, and it seems like it shouldn't be too hard to make it work.

Another story is that it's not obvious how to extend this style of
algorithm to anything interesting, too much gets projected into
manually specified parameters and narrow domain.

--
Vladimir Nesov
robot...@gmail.com
http://causalityrelay.wordpress.com/


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Re: [agi] CopyCat

2008-12-17 Thread Ben Goertzel
I happened to use CopyCat in a university AI class I taught years ago, so I
got some experience with it

It was **great** as a teaching tool, but I wouldn't say it shows anything
about what can or can't work for AGI, really...

ben

On Wed, Dec 17, 2008 at 10:02 AM, Ben Goertzel b...@goertzel.org wrote:



 Do you mean that examples that Hofstadter/Mitchell used in their
 papers for CopyCat did not in fact work on their codebase? I remember
 downloading second copycat implementations (in Java IIRC), it seemed
 to be working. Besides, they don't claim anything grandiose for this
 model, and it seems like it shouldn't be too hard to make it work.


 Those examples work, but if you take random examples of letter string
 analogy problems from Metamagical Themas, you can't get CopyCat to handle
 them...

 ben




-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
b...@goertzel.org

I intend to live forever, or die trying.
-- Groucho Marx



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Re: [agi] CopyCat

2008-12-17 Thread Vladimir Nesov
On Wed, Dec 17, 2008 at 6:03 PM, Ben Goertzel b...@goertzel.org wrote:

 I happened to use CopyCat in a university AI class I taught years ago, so I
 got some experience with it

 It was **great** as a teaching tool, but I wouldn't say it shows anything
 about what can or can't work for AGI, really...


CopyCat gives a general feel of self-assembling representation and
operations performed on reflexive level.  It captures intuitions about
high-level perception better than any other self-contained description
I've seen (which is rather sad, especially given that CopyCat only
touches on using hand-made shallow multilevel representations, without
inventing them, without learning). Some of the things happening in my
model of high-level representation (on the rights of description of
what's happening, not as elements of model itself) can be naturally
described using lexicon from CopyCat (slippages, temperature,
salience, structural analogy), even though algorithm on the low level
is different.

-- 
Vladimir Nesov
robot...@gmail.com
http://causalityrelay.wordpress.com/


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Re: [agi] CopyCat

2008-12-17 Thread Ben Goertzel

 Do you mean that examples that Hofstadter/Mitchell used in their
 papers for CopyCat did not in fact work on their codebase? I remember
 downloading second copycat implementations (in Java IIRC), it seemed
 to be working. Besides, they don't claim anything grandiose for this
 model, and it seems like it shouldn't be too hard to make it work.


Those examples work, but if you take random examples of letter string
analogy problems from Metamagical Themas, you can't get CopyCat to handle
them...

ben



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