Well, since you asked, though I must ay that my only qualifications in 
traditional AI is one course in my masters program, so I'm not sure why you'd 
care.. :) I think the more you look into classic AI, the less impressive it is 
from an explanatory POV. A lot of it seems to me like a kind of OR for 
cognition AFAICT. So yeah, I'd agree that to equate the sophistication and 
beauty of the human experience encountering, playing and mastering chess with 
that of a glorified tree-search -- no matter how finally tuned or dressed up -- 
is to completely misinterpret the whole point of intelligence. Its a 
fundamental confusion between awareness and basic curiosity on the one hand and 
quickness and large memory on the other. I'm really convinced by the pattern 
over symbols arguments, and in particular I think it's really telling that soft 
logic approaches seem to fall apart under longer inference chains. All of this 
is not to say that classic AI approaches aren't insightful and cool, but that 
their relationship to intelligence is glancing and superficial. And at the same 
time, I think the AI label actually limits the appreciation of all of the cool 
things that we *can* do with symbolic logic techniques. It's as if everyone 
decided to call the Wright brother's flyer an "artificial bird" and the name 
stuck.

And now we see all of this coming back in the guise of exabyte science or 
whatever they're calling it. "Hey we have lot's of data! We'll get answers for 
free!!"


On Dec 16, 2009, at 9:47 PM, Carl Tollander wrote:

> As long as we're on AI and Math (whenever were we not) , recall that the hard 
> problems in AI are less matters of chess and more those of the first five 
> years of development.  Here are some mathematicians discussing same - 
> Interesting to see how the conversation unfolds.....got some Category Theory 
> in thar too!
> http://golem.ph.utexas.edu/category/2009/12/can_fiveyearolds_compute_copro.html
> 
> Maybe we should be asking Miles and Reed about AI fundamentals.
> 
> BTW, does anyone have a copy of Drew McDermott's Critique of Pure Reason, (ie 
> a crisp semantics does not a logic make) which is in part a critique of the 
> Naive Physics Manifesto?
> 
> carl
> 
> Robert J. Cordingley wrote:
>> 
>> More on non-algorithmic computing from Penrose:
>> http://en.wikipedia.org/wiki/The_Emperor's_New_Mind
>> 
>> but I don't see how the brain can use quantum mechanics since it's 
>> biochemical and operates on a different scale.  Has anyone read Penrose's 
>> book and can recommend it or not (even tho' it was awarded a prize by the 
>> Royal Society)?
>> Robert C
>> 
>> Robert J. Cordingley wrote:
>>> 
>>> Didn't it take an algorithm (an Inference Engine) to process the 
>>> heuristics?  Also show me some silicon that doesn't use an algorithm 
>>> somewhere.  So do you suppose the Mind Machine Project is a way to break 
>>> free of this computing/algorithmic model?
>>> 
>>> Robert C
>>> 
>>> Pamela McCorduck wrote:
>>>> 
>>>> Most of early AI was heuristics, not algorithms. Some algorithms were 
>>>> incorporated into expert systems, in the belief that if an algorithm could 
>>>> solve the problem, fine; if not, heuristics might. But it was always 
>>>> *might*. True, computers can't solve all problems, neither can humans.
>>>> 
>>>> P.
>>>> 
>>>> 
>>>> 
>>>> "A cold coming we had of it,
>>>> Just the worst time of the year
>>>> For a journey, and such a long journey;
>>>> The ways deep and the weather sharp.
>>>> The very dead of winter."
>>>> 
>>>> T.S. Eliot
>>>> 
>>>>  
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