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272 II Seeing How It Works<br />

descriptions that keep them numerically distinct. Nonetheless, there are no units for<br />

higher-dimensional things. The shapes in rules don’t have parts that I can count before<br />

I calculate. These depend on how the rules are used. The description that makes sense<br />

for a rule now isn’t binding later. What the rule is doing may change freely as it’s<br />

applied. A square is four lines the first time the rule<br />

is tried and eight lines the second time around. Descriptions don’t count. They alter<br />

too erratically for numbers to make sense.<br />

The difference between rules defined for shapes and generative grammars is<br />

evident in other kinds of devices for calculating. They’re described in various ways—<br />

spatially and not—but the method is always combinatorial. And, in fact, they’re all<br />

easy to define in zero-dimensional algebras in which labels or weights are associated<br />

with points.<br />

Turing machines are typical. They’re defined for symbols on tapes—labeled<br />

points evenly spaced on a line—that are modified according to given transitions that<br />

work like my previous rule AqR fi AAqAL. But this is too obscure, and it’s easy to be<br />

clear. The rule<br />

in the algebra V 02 corresponds to a machine transition in which the symbol A is read<br />

in the state q and replaced by the symbol AA. The state q is changed to the state qA, and<br />

the tape is moved one unit to the left. I’ve assumed that the rule applies just under<br />

translations. Three points are needed to mimic the transition if all of the transformations<br />

are allowed. This rule<br />

does the trick nicely. It’s also a cinch to do Turing machines when i is more than zero.<br />

Try it with lines using triangles, and with planes using tetrahedrons, so that the parts<br />

that rules pick out behave like units. This series of scalene triangles

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