Giant brains; or, Machines that thinkBerkeley, Edmund Callis
Science
Giant brains; or, Machines that think
Berkeley, Edmund Callis
Computers -- Popular works
3. _Program 1._ The element “Program 1” performs
a set of standard instructions. Under these
instructions, the machine:
Compares group after group of observations with the
information in the memory.
Compares these groups with patterns furnished, or seeks
to organize the observations into patterns.
Counts cases and tests frequencies.
Finds out how much matching with patterns there is.
Tunes the observing instruments in ways to increase
matching.
[Illustration: FIG. 2. Scheme of an automatic recognizer.]
4. _Program 2._ The element “Program 2” performs
another set of standard instructions. Under these
instructions, the machine, if it is tuned well,
matches sets of observations one after another with
the patterns and so reads them.
5. _Triggering Control._ This element shifts the
control of the machine from Program 1 to Program
2. It does this when the machine reaches “good
matching.” We shall set the meaning of this into
the machine in much the same way as we set “warm”
into a thermostat.
6. _Output._ This element performs any action
that we want, depending on recognized patterns read
and any other knowledge or instructions stored in
the memory.
The automatic recognizer will be capable of extraordinary tasks. With
microphones and a large memory, this type of machine would be able to
hear a foreign language spoken and translate it into spoken or written
English. With phototubes and with an expanded filtering and decoding
capacity as in deciphering machines, the automatic recognizer should be
able to read a dead language, even those (such as Minoan or Etruscan)
that have so far resisted efforts to read it. The machine would derive
rules for the translation of the language and translate any sample.
An automatic recognizer could perhaps be equipped with many sensitive,
tiny observing instruments that could be placed around or in the brain
and nervous systems of animals. Then the machine might enable us to
find out what activity in the nervous system corresponds with what
activity in the animal.
TYPES OF PROBLEMS THAT MACHINES WILL SOLVE IN THE FUTURE
We turn now to the second question regarding the future of machines
that think: What types of problems can we foresee as solved by these
machines?
Problems of Control
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