On Saturday 25 November 2006 12:42, Ben Goertzel wrote:

> I'm afraid the analogies between vector space operations and cognitive
> operations don't really take you very far.
>
> For instance, you map conceptual blending into quantitative
> interpolation -- but as you surely know, it's not just **any**
> interpolation, it's a highly special kind of interpolation, and to
> formalize or teach an AI system this "specialness" is nontrivial
> whether your underlying k-rep is n-vectors or probabilistic logic
> formulas or whatever...

Let's suppose we're trying to blend a steamship, which is a vehicle that 
carries people, and a bird, which flies, to get a notion of how to build an 
airplane, which flies and carries people. Historically, lots of combinations 
of the salient aspects were tried, including Maxim's 9-ton steam-powered 
aircraft of the early 1890's.

What turned out to work was adding the screw and rudder from the boat to the 
wings and tail of the bird, in a body that was of intermediate size. 
Poopdecks, masts, and the captain's gig were dispensed with, as were clawfeet 
and feathers. So the creation of a new, blended concept including some 
features and discarding others from each blendee, as well as averaging or 
extrapolating others. The Wrights used wing-warping, as in birds, for 
attitude control, where Curtis duplicated the rudder once again on the wings 
as ailerons.

Such complex blends require a complex mapping to be discovered from the 
blendees to the new concept; they do retain the character of a blend by 
virtue of inheriting some of the predictive ability of the blendees. (For 
example, the plane yaws the same way the ship does when the vertical tail 
rudder is turned the same way.)

On the other hand, somewhat simpler blends can be done by simple interpolation 
or mappings like the analogical quadrature I mentioned. For example, you will 
instantly understand "teddy moose" to be that which is to a moose as a teddy 
bear is to a bear, i.e. a stuffed-animal toy caricature. I'm fairly sure I 
could define a continuous space in which such a thing would fall out of the 
simple geometric formula.

The key is always always always always always to get the mapping into the 
space right, which is to say getting the projections that form the 
abstractions from the lower-level concepts right, which is why I described it 
as the holy grail.

--Josh

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