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pic principle 322 Anti-Ballistic Missile Treaty 79 Antikythera 15 Apple 56, 68, 224, 306 Arab world democracy 82 Arafat, Yasser 81, 82 Archimedes 343 Aristotle 149 ARM 224 ARNN 280 art being appreciated 142 creativity and 304 Artamene 129 Art of Fugue 259 ASCII 203 Asimov, Isaac 4 Association of Computer M
H PROBLEM: What Can We Do with Diophantine Equations?. Accessed April 13, 2014. http://logic.pdmi-ras. ru/~yumat/Journal/H10history/H10histe.pdf.gz. Minsky, Marvin Lee. Computation. Prentice-Hall Englewood Cliffs, 1967. http:// cba.mit.edu/events/03.11.ASE/docs/Minsky.pdf. Nagel, Ernest, and James R. Ne
an when he was 60 years old. He’d had an astonishing life until then, of course. He’d been taught by Socrates and, in turn, had sharpened the mind of Aristotle. He’d established his famous Academy in Athens. The puzzles of philosophy and politics that defined his city’s most turbulent era had been the work o
ons of a human mind,” Hillis wrote at the start of his PhD thesis a few years later. “A thinking machine.”188 What Hillis and others like his mentor Marvin Minsky, realized was that the human brain works differently than machine logic. Life, after all, is not a series of linear math problems. (Much as we might
and decision making, they are the best learners in the universe. Much of the process of turning data into theories happens before we are five. Since Aristotle and Plato, there have been two basic ways of addressing the problem of how we know what we know, and they are still the main approaches in machine le
the 1955 proposal thought to be the first printed usage of the phrase “artificial intelligence,” computer scientist John McCarthy and his colleagues Marvin Minsky, Nathaniel Rochester, and Claude Shannon conjectured that “every aspect of learning or any other feature of intelligence can in principle be so preci
and decision making, they are the best learners in the universe. Much of the process of turning data into theories happens before we are five. Since Aristotle and Plato, there have been two basic ways of addressing the problem of how we know what we know, and they are still the main approaches in machine le
the 1955 proposal thought to be the first printed usage of the phrase “artificial intelligence,” computer scientist John McCarthy and his colleagues Marvin Minsky, Nathaniel Rochester, and Claude Shannon conjectured that “every aspect of learning or any other feature of intelligence can in principle be so preci
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