Giant brains; or, Machines that thinkBerkeley, Edmund Callis
Science
Giant brains; or, Machines that think
Berkeley, Edmund Callis
Computers -- Popular works
First, the number 49.3724 is examined in a counter called the
_Logarithm-In-Out counter_, and the position of the decimal point is
determined, giving the _characteristic_ of the logarithm. The number
49.3724 has the characteristic 1. Next, 4 successive divisions are
performed, in which the 4 divisors are (1) the first digit of the
number, (2) the first 2 digits of the quotient, (3) the first 3 digits
of the next quotient, and (4) the first 4 digits of the subsequent
quotient; thus,
4.93724/4 = 1.23431
1.23431/1.2 = 1.02860
1.02860/1.02 = 1.00843
1.00843/1.008 = 1.00043
For simplicity we have kept only 6 digits, although the machine, of
course, would keep 23. It is interesting to note that the machine is
able to sense digits and thus determine the 4 divisors; this is an
arithmetical and numerical process and one that cannot be done in
ordinary algebra. We now have:
log₁₀ 49.3724 = 1 + log₁₀ 4 + log₁₀ 1.2 + log₁₀ 1.02
+ log₁₀ 1.008 + log₁₀ 1.00043
To compute log₁₀ 1.00043 to 21 decimals we use
( _h_² _h_³ _h_⁴ _h_⁵ _h_⁶ )
log₁₀_e_ · (_h_ - ————— + ————— - ———— + ————— - —————)
( 2 3 4 5 6 )
with _h_ = 0.00043. Only 6 terms of the series relation are needed.
For, the error is less than _h_⁷/7, which is less than 10⁻²¹/7, since
_h_ < ¹/₁₀₀₀. The machine uses the series relation in the form
log₁₀ (1 + _h_) = {([{(_c_₆_h_ + _c_₅)_h_ + _c_₄}_h_
+ _c_₃]_h_ + _c_₂)_h_ + _c_₁}_h_
where
_c_₁ = _M_, _c_₂ = -_M_/2, _c_₃ = _M_/3, ···,
and _M_ = log₁₀__e_= 0.434294···.
The 6 values of the _c_’s are also stored in the machine. When any
logarithm is to be computed, the sum of the characteristic, of the 4
logarithms of the successive divisors, and of the first 6 terms of the
series relation gives the logarithm. The maximum time required is 90
seconds.
AN APPRAISAL OF THE CALCULATOR
The IBM Automatic Sequence-Controlled Calculator at Harvard is a
landmark in the development of machines that think. Its capacity for
many problems for which it is suited is far beyond the capacity of a
hundred human computers.
Speed
Public-domain text, read in full here on John Shaqi.
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