Re: [MLUG - DISCUSSION] Re: [MLUG] AI - any suggestions?

[Michael <EMAIL:PROTECTED>]

I've written some that beat out competitors programs 100 times the size so
if you don't like it what the fuck do I care. People who've never even
tried doing something should make some effort to do so before deciding
what works. I'm sick of arguing over the topic when everyone seems to
expect me to prove line by line in source code my point but only offers
bullshit they've read out of pop sci magazines to counter. Show me some
code or specs or something or shuddup.

It does take a huge amount of memory though. I've been kicked out of two
universities systems for crashing their big servers due to using up all
memory. At least these days RAM is cheap. :P

"The principal mark of genius is not perfection but originality, the
opening of new frontiers."
                                       -- Arthur Koestler

*^*^*^*
Michael McGlothlin <EMAIL:PROTECTED>
http://mlug.missouri.edu/~mogmios/projects/

On Fri, 2 Nov 2001, Igor Izyumin Jr. wrote:

> > the system you describe also has one other basic weakness - it'll fail
> > miserably on simple tasks of the type:
> > - given the fact that I have a truck, 4x4, a bicycle and a horse, how
> > many cars do i have?
> These are not simple tasks at all.  These are reasoning skills.  Therefore, 
> this is really intellect that you are talking about.  But the whole thing is 
> like this; if you want to process REAL language (not a subset of it, like the 
> old Sierra adventure games did, where they basically looked for specific 
> words) but meaningful language, of the type you find on this mailing list, 
> for example, it is imperative that you have natural intellect.  If you look 
> closely, many things in our language are implied, based on the fact that 
> humans will throw out something that does not fit the rest of the things in 
> their memory.  Basically, if I say that thing about the cars, the brain does 
> some analysis and figures it out.  Following is my idea of how it does it.
> "Given the fact" -> standard phrase that means that an idea follows
> "I have" -> goes to memory, since it is irrelevant at this point
> "truck, 4x4, bicycle, and a horse" -> goes to memory, since it is data
> "how many" -> probably a question, means to count the objects in some data set
> "cars" -> narrows down to what kind of objects
> "do I have" -> connects to data set that was stored in memory
> Now begins the analysis part.  The brain looks at the data set, and analyzes 
> words, connects them to abstract ideas, which connect to images, feelings, 
> whatever.  For example, "horse" is immediately excluded because it is 
> connected to the image of a living animal and not a mechanical human-made 
> chunk of metal that is a "car".  The bicycle is also thrown out, because a 
> "car" is associated with something that's self-propelled, not human-powered.  
> The truck passes the test, because it is associated with cars, even though 
> it's not strictly a car.  The 4x4 is the hardest part, because it does not 
> really mean much: it could be a 4x4 piece of wood or a 4x4 room or a number 
> of other things.  However, the brain analyzes what the data set is composed 
> of, until it finds a class to which all of the items belong.  Then, it finds 
> that a 4x4 truck is the most likely idea that the "4x4" word is associated 
> with.  Thus, it finds that the only two objects that fit the class of cars 
> are the "4x4" and the "truck".  Then it counts the number of the things in 
> the data set and finds out that it is two.
> As you can see, it is VERY, VERY complex.  You have to have a complex neural 
> net for that, and the most complex neural nets that exist now do not have 
> anything close to this capability.  It requires a HUGE amount of memory, a 
> HUGE amount of processing power, and a system to input feelings, perceptions, 
> etc, as well as a system that finds similarities between data stored, as well 
> as a system of garbage collection and compression by throwing away the 
> specific details and referencing them to other ideas instead of storing a 
> duplicate.  Then, the system would need to be fed an enourmous amount of 
> information (just think how much data a human accumulates and stores by the 
> age of 2 and how little the human can do intellectually at that point).  I 
> would be surprised if I saw somebody create a system remotely close to this 
> within the next 50 years.  And Michael appears to think that it can be done 
> with a few perl scripts.

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