Giant brains; or, Machines that thinkBerkeley, Edmund Callis
Science
Giant brains; or, Machines that think
Berkeley, Edmund Callis
Computers -- Popular works
A machine can do this. The mechanical brain now at Aberdeen which was
built at Bell Laboratories can examine any number that comes up in the
process of a calculation and tell whether it is bigger than 3 (or any
stated number) or smaller. If the number is bigger than 3, the machine
will choose one process; if the number is smaller than 3, the machine
will choose another process.
Now suppose that we consider the basic operation of all thinking: in
the human brain it is called learning and remembering, and in a machine
it is called storing information and then referring to it. For example,
suppose you want to find 305 Main Street in Kalamazoo. You look up a
map of Kalamazoo; the map is information kindly stored by other people
for your use. When you study the map, notice the streets and the
numbering, and then find where the house should be, you are thinking.
A machine can do this. In the Bell Laboratories’ mechanical brain, for
example, the map could be stored as a long list of the blocks of the
city and the streets and numbers that apply to each block. The machine
will then hunt for the city block that contains 305 Main Street and
report it when found.
A machine can handle information; it can calculate, conclude, and
choose; it can perform reasonable operations with information. A
machine, therefore, can think.
THE DEFINITION OF A MECHANICAL BRAIN
Now when we speak of a machine that thinks, or a mechanical brain, what
do we mean? Essentially, a _mechanical brain_ is a machine that handles
information, transfers information automatically from one part of the
machine to another, and has a flexible control over the sequence of its
operations. No human being is needed around such a machine to pick up
a physical piece of information produced in one part of the machine,
personally move it to another part of the machine, and there put it in
again. Nor is any human being needed to give the machine instructions
from minute to minute. Instead, we can write out the whole program to
solve a problem, translate the program into machine language, and put
the program into the machine. Then we press the “start” button; the
machine starts whirring; and it prints out the answers as it obtains
them. Machines that handle information have existed for more than 2000
years. These two properties are new, however, and make a deep break
with the past.
Public-domain text, read in full here on John Shaqi.
Reviews
Reviews
No reviews yet
Be the first to share your thoughts on this work.
Join the Discussion
Join the discussion
Sign in to leave a comment or review.
Sign InorCreate an account