Giant brains; or, Machines that thinkBerkeley, Edmund Callis
Science
Giant brains; or, Machines that think
Berkeley, Edmund Callis
Computers -- Popular works
Such a machine would enable physicians to treat many more patients
than they now can. In fact, it is estimated that nearly 50 per cent of
persons who consult physicians are suffering only from mental illness.
Such a machine would therefore be a great help.
Problems of Business
Another large group of problems for which we can foresee the use of
machines that think is found in business and economics.
For example, consider production scheduling in a business or a factory.
The machine takes in a description of each order received by the
business and a description of its relative urgency. The machine knows
(that is, has in its memory) how much of each kind of raw material is
needed to fill the order and what equipment and manpower are needed
to produce it. The machine makes a schedule showing what particular
men and what particular equipment are to be set to work to produce the
order. The machine turns out the best possible production schedule,
showing who should do what when, so that all the orders will be filled
in the best sequence. What is the “best” sequence? We can decide what
we think is the best sequence, and we can set the machine for making
that kind of selection, in the same way as we decide what is “warm” and
set the thermostat to produce it!
On a much larger scale, we can use mechanical brains to study economic
relations in a society. Everything produced in a society is made by
consuming some materials, labor, equipment, and skill. The output
produced by one man or factory or industry becomes the input for
other men, factories, industries. In this way all economic units are
linked together by many different kinds and degrees of dependence. The
situation is, of course, complicated: it changes as time goes on and
as people want different things produced. Economists have already set
up simple models of economic societies and have studied them. But with
machines that think, it will be possible to set up and study far more
complicated models—models that are very much like the society we live
in. We can then answer questions of economics by calculation instead of
by arguments and counting noses. We shall be able to solve definitely
such problems as: “How will a rise in the price of steel affect the
farming industry?” “How much money must be paid out as wages and
salaries so that consumer purchasing power will buy back what industry
produces?”
Machines and the Individual
Public-domain text, read in full here on John Shaqi.
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