Everyone seems to be appropriating the definition of AGI for himself / 
herself."This is what AGI means." rather than "This is what AGI means to me."
Same goes for the definition of intelligence.
Omoshiroi.
~PM

Date: Wed, 27 Nov 2013 19:02:25 +0000
Subject: Re: [agi] AI Complete
From: [email protected]
To: [email protected]

P.S. I should add that AGI-ers will find my remarks difficult because there is 
no established culture of creativity, as opposed to rationality. As the recent 
thread on Computational Creativity showed, there are myriad definitions of 
creativity/intelligence/divergent vs convergent thinking.  So I need to lay out 
my thinking in a systematic way to make it clear. Nevertheless, the truth is as 
stark as I am saying - AGI-ers don't understand that AGI is about producing new 
courses of action, not old ones (or "new" iterations of old formulae) - and are 
doing totally the opposite of what they should be doing (wh. is why the field 
has always been totally stuck).


On 27 November 2013 18:53, tintner michael <[email protected]> wrote:

Steve:They programmed and trained on one corpus, and then competed on another 
corpus that none of the competitors had previously seen. Each corpus was 
carefully analyzed by hand before turning the computers loose on it, so scoring 
was simply a measure of how close the computers came to the hand analysis. No 
one came close to achieving a perfect score.This seems like a pretty good 
"measure" to me.


Nope. Wrong kind and culture of intelligence. Rationality. Production of the 
old.


The attempt is to find things that are variations on a given formula.


AGI isn't about that. It is about creativity. Production of the new.


Can the computer - well actually it will only be a robot - draw in - and 
recognize - an endless range of NEW styles of handwriting? (If that's the 
example). 


You can measure the old, you can't measure the new - and there are billions of 
examples existing in our culture. Nowhere is creativity measured, only crudely 
graded. How would you measure a NEW program that s.o. has just written in terms 
of value/intelligence? Or a new political/economic/business "program" ? Silly 
question.


Wherever you see people talk about measuring AGI/creativity - you will see 
people who simply don't *understand* AGI/creativity. Reread Deutsch - he is 
saying that AGI is creativity because it is still *news* within the AGI 
community.







On 27 November 2013 18:30, Steve Richfield <[email protected]> wrote:


Michael,

The Hobbs paper was about one system that competed with other systems to 
analyze a corpus of real-world terrorist threat reports, complete with 
contorted and ambiguous statements, to determine particular things. The Hobbs 
system was SECOND best among the contestants.




They programmed and trained on one corpus, and then competed on another corpus 
that none of the competitors had previously seen. Each corpus was carefully 
analyzed by hand before turning the computers loose on it, so scoring was 
simply a measure of how close the computers came to the hand analysis. No one 
came close to achieving a perfect score.




This seems like a pretty good "measure" to me.

Given the combination of this paper and the 60 Minutes report about the NSA 
bugging the Internet backbone, it seems inconceivable (to me) that this posting 
isn't being analyzed by a similar system.




Steve
===================
On Wed, Nov 27, 2013 at 2:06 AM, tintner michael <[email protected]> 
wrote:



Russ:PDF: 
http://louisville.edu/speed/computer/tr/UL_CECS_02_2011.pdf/at_download/file ) 
is a good read on that question.




 The paper concludes:
"Progress in the field of artificial intelligence requires access to well 
defined problems of measurable complexity."




...and all AGI problems including language use and vision are ILL-defined, 
creative and not measurable as opposed to well-defined, rational and 
measurable. Think just of essays, papers and projects which compose well over 
50% of education as distinct from IQ, SAT, knowledge tests and the like - they 
cannot be measured, only graded.




Creative/AGI intelligence is a whole different world and level of 
problemsolving/intelligence from rational/narrow AI intelligence. High-level as 
opposed to low-level intelligence.




(At least this paper has a few glimmers of the breadth of human problemsolving 
rather than being purely mathematical/logical).






On 27 November 2013 04:05, Russ Hurlbut <[email protected]> wrote:




It is good practice to find truth in statements such as these before dismissing 
them. This often requires adopting one or more contexts. 
In this case, if one assumes a traditional definition of "AI-complete" by 
extending Hobbs statement to imply actually creating an artificial 
intelligence, then anything short of AI-Complete would be fall under Hobb's 
definition of "computer science." If one chooses to apply the dual process 
theory ( http://en.wikipedia.org/wiki/Dual_process_theory#Systems ), then one 
could argue that an Expert System would fit Hobbs definition of fast, computer 
science. Conversely, the massively parallel unconscious processing that humans 
regularly perform (e.g. in speech, vision) would require enormous computing 
resources and considerable time - even more so using resources available twenty 
years ago.





Does solving syntactic ambiguity really result in creating an artificial 
intelligence? Yampolskiy's paper AI-Complete, AI-Hard, or 
AI-Easy:Classification of Problems in Artificial Intelligence (PDF: 
http://louisville.edu/speed/computer/tr/UL_CECS_02_2011.pdf/at_download/file ) 
is a good read on that question.






On Tue, Nov 26, 2013 at 3:19 PM, Piaget Modeler <[email protected]> 
wrote:








Hobbs' statement: 
Q:  What is the difference between computer science and artificial intelligence?

A:  In computer science you write programs to do quickly what people do slowly. 
In artificial intelligence, it is just the opposite.

In AI we don't write programs to do slowly what people do quickly.  In Expert 
Systems in particular, once it is known what people 




do symbolically,  an expert system often does the symbol manipulations faster  
that a person. Also, Expert Systems can perform those symbol manipulations 24 x 
7 x 365.  Thereby bringing consistency, accuracy, and endurance to the formerly 
human task. 





This statement is clearly false.

~PM





                                          


  
    
      
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