Giant brains; or, Machines that thinkBerkeley, Edmund Callis
Science
Giant brains; or, Machines that think
Berkeley, Edmund Callis
Computers -- Popular works
Let us pause a little longer on the subject of understanding. What
is the understanding of something new? It is a state of knowing, a
process of knowing more and more. The more we know about something
new, the better we understand it. It is possible for almost anybody to
understand almost anything, I believe. What is mainly needed in order
to grasp an idea is a good collection of true statements about it and
some practice in using those statements in situations. For example,
no one has ever seen or touched the separate scraps of electricity
called electrons. But electrons have been described and measured;
hundreds of thousands of people work with electrons; they know and use
true statements about electrons. In effect, these people understand
electrons.
Probably the hardest task of an author is to make his statements
understandable yet accurate. It is too much to hope for complete
success. I shall be very grateful to any reader who points out to me
the statements that he has not understood or that are in error.
As to the views I have expressed, I do not expect every reader to agree
with me. In fact, I shall be glad if many a reader disagrees with
me. For then someone else may say to both of us, “You’re both right
and both wrong—the truth lies atwixt and atween you.” Thoughtful and
tolerant disagreement is the finest climate for scientific progress.
BASIC FACTS
Many of the mechanical brains described in this book will do good work
for years; but their design is already out of date. Many organizations
are hard at work finding new tricks in electronics, materials, and
engineering and making new mechanical brains that are better and faster.
In spite of future developments, though, the basic facts about
mechanical brains will endure. These basic facts are drawn from the
principles of thinking, of mathematics, of science, of engineering,
etc. These facts govern all handling of information. They do not depend
very much on human or mechanical energy. They do not depend very much
on signs. They do not depend very much on the century, or the language,
or the country. For example, “II et III V sunt,” the Romans may have
said; “deux et trois font cinq,” say the French; “2 + 3 = 5,” say the
mathematicians; and we say, “two and three make five.” The main effort
in this book has been to make clear the basic facts about mechanical
brains, for they are now a masterly instrument for obtaining new
knowledge.
EDMUND CALLIS BERKELEY
New York 11, N. Y.
_June 30, 1949_
ACKNOWLEDGMENTS
This book has been over seven years in the making and has evolved
through many different plans for its contents. It springs essentially
from the desire to see human beings use their knowledge better: we
know enough, but how are we to use what we know? Machines that handle
information, that make knowledge accessible, are a long step in the
direction of using what we know.
Public-domain text, read in full here on John Shaqi.
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