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ULTIMATE COMPUTING - Quantum Consciousness Studies

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Toward Ultimate Computing 9<br />

Edmund Hamilton’s 1928 The Metal Giants an artificial brain turned against its<br />

creators.<br />

Computers descended from calculating machines, the earliest of which was<br />

the abacus. In 1642 French mathematician and philosopher Pascal made a<br />

mechanical calculator that used the decimal system to add and subtract. In 1694,<br />

German mathematician/philosopher Leibniz created a “Stepped Reckoner,” which<br />

was supposed to multiply, divide and take square roots. It didn’t work, but<br />

utilized principles later essential to modern computers. Tasks were broken down<br />

into a great many simple mathematical steps using binary numbers and were<br />

performed sequentially. When computers later came to be operated by electricity,<br />

binary zero and one became represented by off and on. In the early 1800’s George<br />

Boole developed “Boolean algebra,” the mathematical logic by which computer<br />

circuits are designed. Charles Babbage and Ada Lovelace—Lord Byron’s eldest<br />

daughter—designed an “analytical engine” using punched cards. Their<br />

contemporary technology could not construct the machine accurately enough, but<br />

it was built and functioned in the twentieth century.<br />

The first electronic computer was apparently constructed and operated in<br />

1939 by John Vincent Atanasoff, a theoretical physicist at Iowa State University<br />

(Mackintosh, 1987). Shortly thereafter, Alan Turing and colleagues in Bletchley,<br />

England designed a computer to perform all possible mathematical calculations. It<br />

was based on Turing’s work proving the logical limits of computability and was<br />

used to decipher the German “Enigma” code during World War II. In a masterful<br />

presentation of key ideas previously developed by other pioneers, John von<br />

Neumann further advanced computer design by separating the machine from its<br />

problems. Prior to von Neumann, a computer would have to be rewired for each<br />

new task. With enough time, memory and software, computers could solve the<br />

problems that could be broken down into finite sequences of logical steps. Most<br />

current computers use “serial” processing based on von Neumann’s design. In the<br />

1940’s, the University of Pennsylvania developed the first electronic computer,<br />

the Electronic Numerical Integrator and Calculator or “ENIAC.” It weighed 30<br />

tons, took up 3,000 cubic feet of space, and contained 18,000 vacuum tubes, one<br />

of which failed every seven minutes. It could calculate nuclear physics problems<br />

in two hours that would have taken 100 engineers a year to complete. Today, the<br />

same capacity is available on one chip. In 1950 Remington Rand marketed<br />

UNIVAC, which dealt with words and numbers stored by their binary equivalent.<br />

Since that time, roughly four generations of computers have evolved due to<br />

increased demand and advances in design, chip size, materials and other factors.<br />

For the same reasons further advances seem inevitable.<br />

Von Neumann and Turing hoped that computers could duplicate our ability to<br />

think, so that our minds could be amplified just as our muscles had been by<br />

industrial machines. However further evolution of computers using serial<br />

processing seems limited. Computers and artificial intelligence are now evolving<br />

to parallel systems based on brain architecture and neural net models; a future<br />

step may be nanoscale, self organizing intelligence.<br />

Von Neumann is one of several “fathers of the computer.” In the “serial”<br />

processing which he skillfully formalized, information flows in one dimension. In<br />

the 1950’s and 1960’s, von Neumann (1966) and Stanislav Ulam developed the<br />

mathematics of computing in multiple dimensions. They considered two<br />

dimensional information spaces with discrete subunits (“cells”) whose states<br />

could vary depending on the states of neighboring cells. Each cell and its<br />

neighbor relations were identical. Relatively simple rules among neighbors and<br />

discrete time intervals (“generations”) led to evolving patterns and selforganization<br />

which were exquisitely sensitive to initial conditions. They called

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