Alan Turing quote: “The idea behind digital computers may be explained by saying that these machines are intended to carry out any operatio…”

“In 1936 the notion of a computable function was clarified by Turing, and he showed the existence of universal computers that, with an appropriate program, could compute anything computed by any other computer. […] In some subconscious sense even the sales departments of computer manufacturers are aware of this, and they do not advertise magic instructions that cannot be simulated on competitors machines, but only that their machines are faster, cheaper, have more memory, or are easier to program.”

John McCarthy (1927–2011) American computer scientist and cognitive scientist

" Towards a Mathematical Science of Computation http://www-formal.stanford.edu/jmc/towards.html", Information Processing 1962: Proceedings of IFIP Congress 62, ed. Cicely M. Popplewell (Amsterdam, 1963), pp. 21–28
1960s

“Any inaccuracies in this index may be explained by the fact that it has been sorted with the help of a computer.”

Donald Ervin Knuth book The Art of Computer Programming

Vol. III, Sorting and Searching, End of index (1973)
The Art of Computer Programming (1968–2011)

“The objective of the Computer-Aided Design Project is to evolve a machine systems which will permit the human designer and the computer to work together on creative design problems.”

Douglas T. Ross (1929–2007) American computer scientist

Source: Computer-Aided Design: A Statement of Objectives (1960), p. iii: Abstract.

“These computing machines had already been designed, and some built, by {[w|Vannevar Bush}}, Norbert Wiener, and others, and were almost ready-made for the job. These scientists, as well as others such as von Neumann, Shannon and Bigelow, were in a position to see that machines of an electronic kind were ideally suited to carry out the whole of the operations of range-finding and location without any human intervention whatever.
These electronic computing machines were already developed to a very high degree of efficiency for the solution of mathematical equations, and some technical difficulties had led to the suggestion that a process of scanning, similar to that used in television, might be incorporated into the computer. Another innovation was the use of binary notation rather than decimal notation as in the early Harvard Mark I computer.”

Frank Honywill George (1921–1997) British psychologist

Source: The Brain As A Computer (1962), p.18

“If one wants to make a machine mimic the behaviour of the human computer in some complex operation one has to ask him how it is done, and then translate the answer into the form of an instruction table. Constructing instruction tables is usually described as "programming."”

Alan Turing Computing Machinery and Intelligence

Computing Machinery and Intelligence (1950)

“When taken as a way of modeling cognitive architecture, connectionism really does represent an approach that is quite different from that of the classical cognitive science that it seeks to replace. Classical models of the mind were derived from the structure of Turing and Von Neumann machines. They are not, of course, committed to the details of these machines as exemplified in Turing's original formulation or in typical commercial computers—only to the basic idea that the kind of computing that is relevant to understanding cognition involves operations on symbols.. In contrast, connectionists propose to design systems that can exhibit intelligent behavior without storing, retrieving, or otherwise operating on structured symbolic expressions. The style of processing carried out in such models is thus strikingly unlike what goes on when conventional machines are computing some function.”

Jerry Fodor (1935–2017) American philosopher

Jerry A. Fodor, and Zenon W. Pylyshyn. "Connectionism and cognitive architecture: A critical analysis." Cognition 28.1-2 (1988): 3-71.

“When taken as a way of modeling cognitive architecture, connectionism really does represent an approach that is quite different from that of the classical cognitive science that it seeks to replace. Classical models of the mind were derived from the structure of Turing and Von Neumann machines. They are not, of course, committed to the details of these machines as exemplified in Turing's original formulation or in typical commercial computers—only to the basic idea that the kind of computing that is relevant to understanding cognition involves operations on symbols.. In contrast, connectionists propose to design systems that can exhibit intelligent behavior without storing, retrieving, or otherwise operating on structured symbolic expressions. The style of processing carried out in such models is thus strikingly unlike what goes on when conventional machines are computing some function.”

Zenon Pylyshyn (1937) Canadian philosopher

Jerry A. Fodor, and Zenon W. Pylyshyn. "Connectionism and cognitive architecture: A critical analysis." Cognition 28.1-2 (1988): 3-71.

“A digital computer can usually be regarded as consisting of three parts: (i) Store. (ii) Executive unit. (iii) Control…. The executive unit is the part which carries out the various individual operations involved in a calculation…. It is the duty of the control to see that… [the table of] instructions are obeyed correctly and in the right order…. A typical instruction might say—"Add the number stored in position 6809 to that in 4302 and put the result back into the latter storage position." Needless to say it would not occur in the machine expressed in English. It would more likely be coded in a form such as 6809430217. Here 17 says which of various possible operations [add] is to be performed on the two numbers…. It will be noticed that the instruction takes up 10 digits and so forms one packet of information…”

Alan Turing Computing Machinery and Intelligence

Computing Machinery and Intelligence (1950)

“We are not asking whether all digital computers would do well in the game nor whether the computers at present available would do well, but whether there are imaginable computers which would do well.”

Alan Turing Computing Machinery and Intelligence

Computing Machinery and Intelligence (1950)

“Machine-held strings of binary digits can simulate a great many kinds of things, of which numbers are just one kind. For example, they can simulate automobiles on a freeway, chess pieces, electrons in a box, musical notes, Russian words, patterns on a paper, human cells, colors, electrical circuits, and so on. To think of a computer as made up essentially of numbers is simply a carryover from the successful use of mathematical analysis in studying models. Most of this series of lectures has been devoted to applications of computers, and this is not the time to give details about their usefulness. I merely wish to point out certain types of things being done with computers today that could not have been done in 1945. Some of these are technological, some are intellectual.”

George Forsythe (1917–1972) Stanford University computer scientist

As cited in: Zenon Pylyshyn (1970) Perspectives on the computer revolution. p. 379
"Educational implications of the computer revolution," 1963

“The idea behind digital computers may be explained by saying that these machines are intended to carry out any operations which could be done by a human computer.”

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