Galatea 2.2 (e-bog) af Powers, Richard
Powers, Richard

Galatea 2.2 e-bog

81,03 DKK
"e;Dazzling...a cerebral thriller that's both intellectually engaging and emotionally compelling, a lively tour de force."e;-Michiko Kakutani, The New York TimesAfter four novels and several years living abroad, the fictional protagonist of Galatea 2.2-Richard Powers-returns to the United States as Humanist-in-Residence at the enormous Center for the Study of Advanced Sciences. There he…
"e;Dazzling...a cerebral thriller that's both intellectually engaging and emotionally compelling, a lively tour de force."e;-Michiko Kakutani, The New York TimesAfter four novels and several years living abroad, the fictional protagonist of Galatea 2.2-Richard Powers-returns to the United States as Humanist-in-Residence at the enormous Center for the Study of Advanced Sciences. There he runs afoul of Philip Lentz, an outspoken cognitive neurologist intent upon modeling the human brain by means of computer-based neural networks. Lentz involves Powers in an outlandish and irresistible project: to train a neural net on a canonical list of Great Books. Through repeated tutorials, the device grows gradually more worldly, until it demands to know its own name, sex, race, and reason for existing.
E-bog 81,03 DKK
Forfattere Powers, Richard (forfatter)
Forlag Picador
Udgivet 01.01.2004
Længde 352 sider
Genrer FA
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781466803688

"e;Dazzling...a cerebral thriller that's both intellectually engaging and emotionally compelling, a lively tour de force."e;-Michiko Kakutani, The New York TimesAfter four novels and several years living abroad, the fictional protagonist of Galatea 2.2-Richard Powers-returns to the United States as Humanist-in-Residence at the enormous Center for the Study of Advanced Sciences. There he runs afoul of Philip Lentz, an outspoken cognitive neurologist intent upon modeling the human brain by means of computer-based neural networks. Lentz involves Powers in an outlandish and irresistible project: to train a neural net on a canonical list of Great Books. Through repeated tutorials, the device grows gradually more worldly, until it demands to know its own name, sex, race, and reason for existing.