Re: Millionth Mindpixel Created Today!
Date: 31 Aug 2002 21:41:44 -0700
Message-ID: <bdd8cc1e.0208312041.5618f324_at_posting.google.com>
> DNK:
> > Mckinstry, you've still got no clue how to do anything useful with
> > your collection of factoids. Your only contribution to AI has been
> > to remind us how gullible the technical press can be.
The technical press is gullible. Yes, this is true to a point. But peer reviewed science is a little different.
Robert Epstein the Harvard trained psychologist and one of the world's leading experts on human and machine behavior who also editor of Psychology Today Magazine (who actually said on national radio that I was smarter than Alan Turing himself--thanks Robert--like I needed a fatter head) requested I write a chapter for his forthcoming book 'The Turing Test Source Book: Philosophical and Methodoligical Issues in the Quest for the Thinking Computer' to be published early next year by the very prestigious Dutch scientific publisher, Kluwer (http://www.wkap.nl) in the Text, Speech and Language Technology Bookseries (http://www.wkap.nl/prod/s/TLTB). It is quite an important book--all the big famous guys are in it--Marvin Minsky, Roger Penrose, David Chalmers, Ray Kurzweil, Noam Chomsky, Daniel Dennett, Douglas Hofstader and many others...
My Chapter is titled 'Mind as Space: Toward the Automatic Discovery of a Universal Human Semantic-Affective Hyperspace--A Possible Subcognitive Foundation of a Computer Program able to pass the Turing Test.' (Abstract is at the end of this message) In it I make a prediction of a fundamental property of the human mind (the size of human short term memory) which has been known but unexplained since 1956 when it was first measured by the famous psychologist George Miller from fundamental mathmatical properties. It will make me quite famous I think.
So, buy the book, read the theory and see what I plan for my little collection of 'factiods' then publish a response if you have one.
And of course, have a nice day!
Chris.
Mind as Space: Toward the Automatic Discovery of a Universal Human Semantic-Affective Hyperspace--A Possible Subcognitive Foundation of a Computer Program able to pass the Turing Test.
Abstract: French (1990) identified "subcognitive questions"-questions with answers which unconsciously depend on the whole of normal human experience-as a key mechanism of the Turing Test's ultimate ability to discriminate a person from a simulation of a person. French claims that no machine that has not lived life as a normal human being, in a normal human body, can pass a rigorous Turing Test. Additionally French notes that even though we intuitively perceive intelligence as a continuum, the Turing Test does not, limiting it's usefulness in research. The present article describes a possible method for the automatic discovery of a universal human semantic-affective hyperspatial approximation of the human subcognitive substrate-the associative network which French asserts is the ultimate foundation of the human ability to pass the Turing Test-that does not require a machine to have direct human experience or a physical human body. This method involves automatic programming-such as Koza's genetic programming (Koza 1992)-guided in the discovery of the proposed universal hypergeometry by feedback from a Minimum Intelligent Signal Test or MIST (McKinstry 1997) constructed from a large number of human validated propositions collected from a large population of Internet users. It will be argued that though a lifetime of human experience is required to pass a rigorous Turing Test, a propositional approximation of this experience can be constructed via public participation on the Internet, and then used as a fitness function to direct the artificial evolution of a universal hypergeometry capable of classifying new propositions. A model of this hypergeometry will be presented that predicts Miller's "Magical Number Seven" (Miller 1956) as the size of human short- term memory from fundamental hypergeometric properties. A system that can lead to the generation of new propositions or "artificial thoughts" will also be described. Int will be concluded that the artificially evolved hypergeometry can serve as the subcognitive foundation of a robot, or simulation of a robot, that can ultimately pass the Turing Test and that a large corpus of human validated propositions can also be used as an "Automatic Turing Test" to objectively evaluate any current or future claim to artificial intelligence in a rapid, automatic fashion, as well as serving as real world experiential data for traditional symbolic processing systems. Received on Sun Sep 01 2002 - 06:41:44 CEST