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ULTIMATE COMPUTING - Quantum Consciousness Studies

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Toward Ultimate Computing 27<br />

a lattice, Ising generators evolve to stable patterns in which states of opposite spin<br />

align in one direction, and like spins align in another direction. A generalized two<br />

dimensional Ising generator is shown in Figure 1.11. Cellular automaton models<br />

in microtubules (Chapter 8) evolve to similar states in which opposite states align<br />

in one direction, and similar states align in another direction (Figure 1.12).<br />

Von Neumann studied how cellular automata could perform useful<br />

computations. He assumed a large number of cells start in a quiescent, or inactive<br />

state and that input was encoded by placing a number of contiguous cells in a<br />

specific pattern. By then running the clock through a sequence of generations, an<br />

output can be obtained by the patterns of states at a later time. A cellular<br />

automaton is said to be universally computing if, for any solvable problem, there<br />

is an initial configuration of the cellular automaton which evolves to a<br />

configuration containing the solution. As far as implementing such computing<br />

capabilities, access to every cell must be established to set its initial state and read<br />

its final state. Von Neumann discovered a universally constructing cellular<br />

automaton in which an initial configuration of a small number of cells (the<br />

“constructor”) can set initial states of distant cells to the pattern required to solve<br />

any problem. The constructor communicates with distant cells through<br />

intermediate cells according to transition rules. If a cellular automaton is<br />

universally constructing, it can be “programmed” to solve any problem, even if<br />

only a few cells can communicate with the outside world. Several universally<br />

constructing cellular automata have been devised in simulation; “constructors” as<br />

patterns of cytoskeletal subunit conformation would be useful mechanisms for<br />

biological computation.

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