Abstraction in Computer Science
Computer scientists use abstraction and communicate their solutions with the computer in some particular computer language. Abstraction allows program designers to separate categories and concepts from instances of implementation, so that they do not depend on software or hardware.
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Famous quotes containing the words abstraction, computer and/or science:
“Before abstraction everything is one, but one like chaos; after abstraction everything is united again, but this union is a free binding of autonomous, self-determined beings. Out of a mob a society has developed, chaos has been transformed into a manifold world.”
—Novalis [Friedrich Von Hardenberg] (1772–1801)
“The analogy between the mind and a computer fails for many reasons. The brain is constructed by principles that assure diversity and degeneracy. Unlike a computer, it has no replicative memory. It is historical and value driven. It forms categories by internal criteria and by constraints acting at many scales, not by means of a syntactically constructed program. The world with which the brain interacts is not unequivocally made up of classical categories.”
—Gerald M. Edelman (b. 1928)
“But don’t despise error. When touched by genius, when led by chance, the most superior truth can come into being from even the most foolish error. The important inventions which have been brought about in every realm of science from false hypotheses number in the hundreds, indeed in the thousands.”
—Stefan Zweig (18811942)