On Saturday 25 November 2006 13:52, Ben Goertzel wrote: > About Teddy Meese: a well-designed Teddy Moose is almost surely going > to have the big antlers characterizing a male moose, rather than the > head-profile of a female moose; and it would be disappointing if a > Teddy Moose had the head and upper body of a bear and the udders and > hooves of a moose; etc. So obviously a simple blend like this is not > just **any** interpolation, it's an interpolation where the most > salient features of each item being blended are favored, wherever this > is possible without conflict. But I agree that this should be doable > within an n-vector framework without requiring any breakthroughs...
A little more about this: The salient features of a bear or moose are those that would go into a caricature. (There is also a significant anthropomorphization, a blending in of human characteristics.) It's long been shown that *with the proper mapping*, caricatures can be generated by n-space geometry. You find a point that represents an average of individuals in the class you're interested in, take the individual you're trying to caricature and project further along the line of difference. A classic example is Susan Brennan's caricature generator: Brennan, S. "Caricature Generation: The Dynamic Exaggeration of Faces by Computer." Leonardo 18, No. 3 (1985), 170-178. (an example is shown in http://cogprints.org/172/00/faces1.ps) Another more recent result using an n-space representation (they call it a Vector Space Model) is Turney, Peter D. and Littman, Michael L. (2005) Corpus-based Learning of Analogies and Semantic Relations. Machine Learning 60(1-3):pp. 251-278. (http://cogprints.org/4518/01/NRC-48273.pdf) A follow-on paper (http://arxiv.org/pdf/cs.CL/0412024) is the work that recently got in the news by equalling the performance of college-bound students on verbal-analogy SAT test questions. You can get some help finding the "average animal" and seeing how much human character is mixed in by backtracking from teddy bears. Another approach, just as congenial to my tentative architecture, is to use a memory of a caricature moose, e.g. Bullwinkle. --Josh ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?list_id=303
