“To an increasing number of practitioners, computer simulations rooted in mathematics represent a third way of doing science, alongside theory and experiment.”

— Ivars Peterson

Source: The Mathematical Tourist: New and Updated Snapshots of Modern Mathematics (1998), Chapter 1, “Explorations” (p. 10)

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Ivars Peterson 9

Canadian mathematician 1948

George Forsythe (1917–1972) Stanford University computer scientist

George Forsythe (1958) cited in: Computers and people Vol 23. (1974). p. 11 Pagina 11

“Simulation is the use of models and/or the actual conditions of either the thing being modeled or the environment in which it operates, with the models or conditions in physical, mathematical, or some other form. The purpose of simulation is to explore the various results which might be obtained from the real system by subjecting the model to representative environments which are equivalent to, or in some way representative of, the situations it is desired to understand or investigate. Simulation may involve system hardware and the actual physical environment, or it may involve mathematical models subjected to mathematical forcing or disturbance functions representative of the systems conditions to be studied.”

Harold Chestnut (1917–2001) American engineer

Source: Systems Engineering Tools, (1965), p. 111 as cited in

“The advent of small, inexpensive computers with superb graphics has changed the way many sciences are practiced, and the way that all sciences present the results of experiments and calculations.”

John D. Barrow (1952–2020) British scientist

Introduction
Cosmic Imagery: Key Images in the History of Science (2008)

“Computer science research is different from these more traditional disciplines. Philosophically it differs from the physical sciences because it seeks not to discover, explain, or exploit the natural world, but instead to study the properties of machines of human creation. In this it as analogous to mathematics, and indeed the "science" part of computer science is, for the most part mathematical in spirit. But an inevitable aspect of computer science is the creation of computer programs: objects that, though intangible, are subject to commercial exchange.”

Dennis M. Ritchie (1941–2011) American computer scientist

Reflections on Software Research (1984)

“Because intersectionality is a concept (a description of the experience of multiple oppressions, without explaining their causes) rather than a theory (which does attempt to explain the root causes of oppressions), it can be applied alongside different theories of oppression--theories informed by Marxism or postmodernism, but also separatism, etc. Because Marxism and postmodernism are often antithetical, their specific uses of the concept of intersectionality can be very different and in very different and contrary ways.”

Sharon Smith (writer) (1956) American historian

A Marxist Case For Intersectionality (2017)

“One can imagine a computer simulation of the action of peptides in the hypothalamus that is accurate down to the last synapse. But equally one can imagine a computer simulation of the oxidation of hydrocarbons in a car engine or the action of digestive processes in a stomach when it is digesting pizza. And the simulation is no more the real thing in the case of the brain than it is in the case of the car or the stomach. Barring miracles, you could not run your car by doing a computer simulation of the oxidation of gasoline, and you could not digest pizza by running the program that simulates such digestion. It seems obvious that a simulation of cognition will similarly not produce the effects of the neurobiology of cognition.”

John Rogers Searle (1932) American philosopher

"Is the Brain’s Mind a Computer Program?", Scientific American (January 1990).

“In science we must all submit not to what seems to us attractive from one point of view or another, but to what represents an agreement between theory and experiment.”

Dmitri Mendeleev (1834–1907) Russian chemist and inventor

Faraday Lecture, the Royal Institution, London (1889) as quoted by Leon Gray, The Basics of the Periodic Table (2013)

“Mathematics says the sum value of a network increases as the square of the number of members. In other words, as the number of nodes in a network increases arithmetically, the value of the network increases exponentially. Adding a few more members can dramatically increase the value of the network.”

Kevin Kelly (1952) American author and editor

Out of Control: The New Biology of Machines, Social Systems and the Economic World (1995), New Rules for the New Economy: 10 Radical Strategies for a Connected World (1999)

“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

“I was a borderline computer science major before I came into interaction design; I’m really interested in physics and chemistry. This class was a way to throw design back into science and mathematics and help a community that is helping to give back to us.”

Akshay Agrawal (1998) Serial Social Entrepreneur

About working with MIT and JPL on an Ocean Eddy Simulation Visualization tool https://web.archive.org/web/20180518011711/https://designmattersatartcenter.org/proj/seeing-the-unseen/

“To an increasing number of practitioners, computer simulations rooted in mathematics represent a third way of doing science, alongside theory and experiment.”

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