Giant brains; or, Machines that thinkBerkeley, Edmund Callis
Science
Giant brains; or, Machines that think
Berkeley, Edmund Callis
Computers -- Popular works
UNIT NAME OF LIGHT MARK KIND OF LIGHT
1 Statement truth value _V_₁ to _V_₁₂ Small, red
13 Main truth value Large, yellow
The answer to a problem is shown by a pattern of the lights of Units
1 and 13. The pattern of lights is equivalent to a row of the truth
table. Each little red light (Unit 1) glows when its statement is
assumed to be true, and it is dark when its statement is assumed to
be false. The yellow light (Unit 13) glows when the whole compound
statement is calculated to be logically true, and it is dark when the
whole compound statement is calculated to be logically false.
The machine turns its “attention” automatically to each line of the
truth table one after the other, and pulses are fed in according to the
pattern of assumed true statements. We can set the machine to stop on
true cases or on false cases or on every case, so as to give us time
to copy down whichever kind of results we are interested in. When we
have noted the case, we can press a button and the machine will then go
ahead searching for more cases.
A COMPLETE AND CONCRETE EXAMPLE
The reader may still be wondering when he will see a complete and
concrete example of the application of the logical-truth calculator. So
far we have given only pieces of examples in order to illustrate some
explanation. Therefore, let us consider now the following problem:
PROBLEM. The A. A. Adams Co., Inc., has about
1000 employees. About 600 of them are insured under a
contract for group insurance with the I. I. Insurance
Co. Mr. Adams decides that more of his employees ought
to be insured. As a part of his study of the change, he
asks his manager in charge of the group insurance plan,
“What are the possible statuses of my employees who are
not insured?”
The manager replies, “I can tell you the names of the
men who are not insured, and all the data you may want
to know about them.”
Mr. Adams says, “No, John, that won’t be enough, for I
need to know whether there are any groups or classes
that for some basic reason I should exclude from the
change I am considering.”
So the manager goes to work with the following 5 statuses and
the following 5 rules, and he produces the following answer.
Our question is, “Is he right, or has he made a mistake?”
_Statuses._ A status for any employee is a report about
that employee, answering all the following 5 questions with
“yes” or “no.”
1. Is the employee eligible for insurance?
2. Has the employee applied for insurance?
3. Has the employee’s application for insurance been approved?
4. Does the employee require a medical examination for insurance?
5. Is the employee insured?
_Rules._ The rules applying to employees are:
Public-domain text, read in full here on John Shaqi.
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