Giant brains; or, Machines that thinkBerkeley, Edmund Callis
Science
Giant brains; or, Machines that think
Berkeley, Edmund Callis
Computers -- Popular works
For example, consider tests of aptitudes. If you take one of these
tests, you may be asked to mark which word out of five suggested ones
is nearest in meaning to a given word. Or your test may be 40 simple
arithmetical problems to be solved in 25 minutes. Or you may be given
a sheet with 20 circles, and be asked to put 3 dots in the first, 7
dots in the second, 4 dots in the third, 11 dots in the fourth, and
so on, irregularly; you may be given a total of 45 seconds to do this
as well as you can. Now, if a vocational counselor gives you one of
these tests, and if you get 84 out of 100 on it, he needs to know just
what he has measured about you. Also, he needs to know whether he can
reasonably forecast that, as a result of your grade of 84, you will
be good at writing articles, or good at supervising the work of other
people, or good at designing in a machine shop. He needs to know the
records of people with scores of about 84 on this test and to have
evidence supporting his forecasts.
If we wish to make the most use of the tests, we need to carry out a
good deal of statistics, mathematics, and logic. For example, it will
turn out that answers to some questions are much more significant
than answers to others, and so we can greatly improve the quality of
the tests by keeping only the more significant questions. Powerful
machinery for handling calculations will be very useful in the field of
aptitude testing.
But, you may ask, what if the person analyzing your answers has to use
interpretations and judgments? If the judgments and interpretations can
be expressed in words, and if the words can be translated into machine
language, then the machine can carry out the analysis. Usually the
difference between a rule and a judgment is simply this: a rule in a
case in which it is hard to express all the factors being considered is
called a judgment.
Psychological Trainer
It is conceivable that machines that think can eventually be applied
in the actual treatment of mental illness and maladjustment. Consider
what a physician does. In treating a psychiatric case, such as a
_neurosis_, a physician uses words almost entirely. He asks questions.
He listens to the patient’s answers. Each answer takes the physician
nearer and nearer to a diagnosis. By and by the physician knows what
most of the difficulty is. Then he must present his knowledge slowly
to the patient, gradually guiding the patient to understanding. It is
a psychological truth that telling a man in ten minutes what is wrong
with him does not cure him. The physician seeks to free the patient
from the tormenting circles of habit and worry in which he has been
trapped. Often the diagnosis is short and the treatment is long; the
reasons for the neurosis may soon be clear to the physician, but they
may take months to become clear to the patient.
Public-domain text, read in full here on John Shaqi.
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