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228 II Seeing How It Works<br />

see what I want to in an ongoing process than to remember or learn what to do. My<br />

immediate perception takes precedence over anything I’ve decided or know. But<br />

there’s an option. I don’t have to divide the shape into meaningful parts. I can cut it<br />

into anonymous units, small enough to model (approximate) as many new parts as I<br />

want. This is a standard practice, but the parts of the shape and their models are too<br />

far apart. <strong>Shape</strong>s containing lines, for example, aren’t like shapes that combine points.<br />

This is what the algebras U 0 j and U 1 j show. Moreover, useful divisions are likely to be<br />

infrequent and not very fine. Getting the right ones at the right time is what matters.<br />

Yet even if units do combine to model the parts I want, they may also multiply unnecessary<br />

parts, beyond interest and use, to cause unexpected problems. Point sets show<br />

this perfectly. I have to deal with the parts I want, and also with the parts I don’t.<br />

Dividing the shape into units exceeds my intuitive reach. I can no longer engage it<br />

directly in terms of what I see. There’s something definite to know beforehand, so I<br />

have to think twice about how the shape works. It’s an arrangement of arbitrary units<br />

that go together in an arbitrary way that has to be remembered. What happens to<br />

novelty and new experience? Memory blocks it all. Any way you cut it, there’s got to<br />

be a better way to handle the shape. Decompositions are preposterous before I calculate.<br />

They provide a record of what I’ve done, not a map of what to do. They keep me<br />

from going on—at least in new ways.<br />

But decompositions are fine if I remember they’re only descriptions, and that<br />

descriptions don’t count. They’re what I get whenever I talk about shapes—to say<br />

what they’re for as I show how they’re used. Without decompositions, I could only<br />

point at shapes in a vague sort of way. Still, words are no substitute for shapes when I<br />

calculate. Parts aren’t permanent but alter freely every time I try a rule. <strong>Shape</strong>s and<br />

words aren’t the same.<br />

How Rules Work When I Calculate<br />

Most of the things in the algebras I’ve been describing—I’ll call all of these things<br />

shapes from now on unless it makes a serious difference—are useless jumbles. This<br />

should come as no surprise. Most of the numbers in arithmetic are totally meaningless,<br />

too. The shapes that count—like the numbers I get when I balance my checkbook—are<br />

the ones there are when I calculate. I have to see something and do something for<br />

things to have any meaning. And seeing and doing can change things freely, even as<br />

calculating goes on.<br />

<strong>Shape</strong>s are defined in different algebras. But how I calculate in each of these algebras<br />

has a common mechanism. Rules are defined and applied recursively to shapes in<br />

terms of the part relation and Boolean sum and difference—or whatever corresponds to<br />

the part relation and these operations—and the Euclidean transformations. This uses<br />

the full power of the algebras. You can’t get away with anything less.<br />

Rules are given by ostension. Any two shapes whatsoever—empty or not and the<br />

same or not—shown one after the other determine a rule. Suppose that these shapes<br />

are first A and next B. Then the rule they define is

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