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y -of -friendly -ai/. LG90. Douglas Lenat and R. V. Cuba. Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. Addison-Wesley, 1990. LH07a. Shane Legg and Marcus Flutter. A collection of definitions of intelligence. IOS, 2007. LH07b. Shane Legg and Marcus Rutter. A defin
XI. Taylor and P. Stone. Cross-domain transfer for reinforcement learning. Proc. of the 24th International Conf. on Machine Learning, 2007. Tur50. Alan Turing. Computing machinery and intelligence. Mind, 59, 1950. Tur77. Valentin F. Thrchin. The Phenomenon of Science. Columbia University Press, 1977. TV9
bility-of-friendly-ai/. LG90. Douglas Lenat and R. V. Guha. Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project. Addison-Wesley, 1990. LH07a. Shane Legg and Marcus Hutter. A collection of definitions of intelligence. IOS, 2007. LHO07b. Shane Legg and Marcus Hutter. A definit
7. M. Taylor and P. Stone. Cross-domain transfer for reinforcement learning. Proc. of the 24th International Conf. on Machine Learning, 2007. Tur50. Alan Turing. Computing machinery and intelligence. Mind, 59, 1950. Tur77. Valentin F. Turchin. The Phenomenon of Science. Columbia University Press, 1977. TV96
ng runs. Well-built gates will give us time and leverage. They will 247 “In anarchy”: Kenneth Waltz, Theory of International Politics, (Reading, MA: Addison-Wesley, 1979), 126 248 It establishes: For a discussion about why a grand strategy is of practical use see Hal Brands, “The Promise and Pitfalls of Grand S
ended and the machine began. This was a puzzle that had been, in a sense, anticipated at the very dawn of the digital revolution by the mathematician Alan Turing in a 1950 paper called “Computing Machinery and Intelligence” that he published in the British journal Mind. “Can machines think?” Turing began.?5” H
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