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John A. Stankovic

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Almost all computer systems of the future will utilize real-time scientific principles and technology.

 
John A. Stankovic

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Computer Algebra Systems are NOT the Devil but the new MESSIAH that will take us out of the current utterly trivial phase of human-made mathematics into the much deeper semi-trivial computer-generated phase of future mathematics. Even more important, Computer Algebra Systems will turn out to be much more than just a `tool', since the methodology of computer-assisted and computer-generated research will rule in the future, and will make past mathematics seem like alchemy and astrology, or, at best, theology.

 
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Prediction of the future is possible only in systems that have stable parameters like celestial mechanics. The only reason why prediction is so successful in celestial mechanics is that the evolution of the solar system has ground to a halt in what is essentially a dynamic equilibrium with stable parameters. Evolutionary systems, however, by their very nature have unstable parameters. They are disequilibrium systems and in such systems our power of prediction, though not zero, is very limited because of the unpredictability of the parameters themselves. If, of course, it were possible to predict the change in the parameters, then there would be other parameters which were unchanged, but the search for ultimately stable parameters in evolutionary systems is futile, for they probably do not exist... Social systems have Heisenberg principles all over the place, for we cannot predict the future without changing it.

 
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“I have long been alarmed by people’s sheeplike acceptance of the term ‘computer technology’ — it sounds so objective and inexorable — when most computer technology is really a bunch of ideas turned into conventions and packages.”

 
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With the subsequent strong support from cybernetics, the concepts of systems thinking and systems theory became integral parts of the established scientific language, and led to numerous new methodologies and applications -- systems engineering, systems analysis, systems dynamics, and so on.

 
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