Actually, the context of other replies covered my questions on the how computers can link concepts, but not on how people somehow have such separate languages that learning from one sphere can't cross over to the other. There's still that conceptual gap between promoting more efficient growth and a desire to limit the real economic impacts on the earth. All the communities I have contacted on the subject are speechless for some reason.
The clear evidence of a gap in intellect is that global economic efficiency is methodically improving at half the rate of output for energy at least (Jevons Paradox, or the natural vanishing returns of efficiency as you may call it). You see the same pattern in the general technology cycle that demonstrates a growth and climax development model of terminally limiting efficiency for any physical process known, and for good reasons applying generally to any possible undiscovered one too, of the same kind as predicted by the 2nd law for energy transformation. It seems that the 1st law of human behavior, not to look at the 2nd law, still predominates even among scientists, but since the world is physically running smack into it at an accelerating rate, something will give. Phil Henshaw ¸¸¸¸.·´ ¯ `·.¸¸¸¸ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 680 Ft. Washington Ave NY NY 10040 tel: 212-795-4844 e-mail: [EMAIL PROTECTED] explorations: www.synapse9.com > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of Marcus G. Daniels > Sent: Sunday, April 22, 2007 11:54 PM > To: The Friday Morning Applied Complexity Coffee Group > Subject: Re: [FRIAM] Google and Semantics > > > George Duncan wrote: > > Not bad at a "meaning" level, I think. Also useful for the searcher. > > Clusty is a Carnegie Mellon spinoff from CS. A lot of the research > > on information retrieval done here works with rather simple > > (conceptually at least) statistical models. Here's a link > with a broad > > overview: http://www.lti.cscmu.edu/Research/index.html > > <http://www.lti.cs.cmu.edu/Research/index.html> > Thanks for the link -- looks like their machine translation and > information retrieval projects follow both statistical and > grammatical > approaches. For web search engines, at least for casual users, I > think its pretty clear that stateless clustering approaches can work > well. My interest is whether, using automated procedures, > scientific > terms can be determined to have consistent meanings or not. If it > didn't matter what order words and sentences had, words' > part-of-speech, > etc. then we ought to be able to scramble any text and still > understand > it. (How basic statistical retrieval systems work.) > > ============================================================ > FRIAM Applied Complexity Group listserv > Meets Fridays 9a-11:30 at cafe at St. John's College > lectures, archives, unsubscribe, maps at http://www.friam.org > > ============================================================ FRIAM Applied Complexity Group listserv Meets Fridays 9a-11:30 at cafe at St. John's College lectures, archives, unsubscribe, maps at http://www.friam.org
