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Gibson and AI's

I ran accross this excelent article about William Gibson and his success in portraying Aritifical Intelligence in Neuromancer.

If you've read the book, it's an excelent read. I thoughly enjoyed it. It gave me a much better vocabulary to speak about the book and some of it's best points concerning it's portrayal of charcaters, both artifical and otherwise.

Here's the link: http://www.geocities.com/Athens/4705/neuro.html

I'de love to start up a discussion on it if anyone's interested!

-Kevlar

(Edited by Kevlar at 11:43 am on Mar. 3, 2003)

whoever wrote this essay has some really wonderful observations and analysis about AI in N.

it's been a while since i read that book though.

but… after reading this i think i'll take a look at it again.

but before i do -and- before i get much needed sleep, this in relation to the "things aren't different. things are things." quote.

while the author of this essay observes, rather reasonably, that there's the idea that creation of an 'artificial chain' to place AI on is at best... questionable, he doesn't address an alternative to the classification of the intelligences in the book or AI in general. so....

that the placement of intelligence, weather silicon or flesh is not a matter of a scale, not one that goes up and down, left or right... not a linear/serial scale at least, but rather could be a matter of the placement if intelligence inside a 3 dimensional �space�. intelligence, flesh, silicon or whatever infinite (finite?) blending of the two, none can be in the same place at once, hence can not meet the same criteria , can not be judged under the simplistic word pairings of good/bad, heaven/hell, intelligent/unintelligent etc� can not be considered different since they exist in the same "space" but are simply there? is that what gibson�s getting at?

*crickets*

yes� well� i�m curious, what are some of the popular theories about the placement of AI on the scale of things, the current way to measure AI? i know about the turing test� as well as a bit about the limitations of the von nuemann architecture when it comes to the creation of 'real' AI� but that�s about as far as i�ve gotten in my readings.

*blinks*

right� pardon all that, but i'm thinking it's most DEFINITLY sleepy time for me now.

The Turing test, while popular at one time, has become famous for how people have spent more time proving why it's NOT valid then they have passing it.

There's an excelent article discussing the current state of the art in Turing contests, (the Loebner competition) here :
http://www.salon.com/tech/feature/2003/02/26/loebner_part_one/index.html
with part 2 here: http://www.salon.com/tech/feature/2003/02/27/loebner_part_2/?x

From part 2: In the professional and academic circles the term Artificial Intelligence is pass�. It is considered to be technically incorrect relative to the present day technology and the term has also picked up a strong Sci-Fi connotation. The new and improved term is Intelligent Systems. Under this general term there are two distinct categories: Decision Sciences (DS) and the human mimicry side called Mimetics Sciences (MS).

Decision sciences, by the simplest possible definition, refers to computerized assistance in resource allocation. An example provided by a press release from MIT announcing the creation of a decision sciences program was "complex computer-based 'passenger yield management' systems and models that the airlines use to adjust pricing of each flight's seats in order to maximize revenue and profitability to the airline.

So I think the answer to your question is: The field has evolved into something not quite like but not quiet entirely different from it's former self.

-Kevlar

Kevin Warick's In the Mind of the Machine is a good read, considering the complexities of intelligence and how that can translate to non organic beings.