"Never Draw to an Inside Straight": On Everyday Knowledge
2002; Johns Hopkins University Press; Volume: 33; Issue: 4 Linguagem: Inglês
10.1353/nlh.2002.0039
ISSN1080-661X
Autores Tópico(s)Multidisciplinary Warburg-centric Studies
ResumoWhat would the structure of everyday reason look like if we tried to teach it to an intelligent machine? Something like this: Richard Powers's Galatea 2.2 tells the story of a novelist, coincidentally also called "Richard Powers," who returns to the United States after the breakdown of his marriage. He takes a fellowship at a midwestern university where he works as a kind of participant observer in the Center, a massively funded institute for the study of artificial intelligence. There he meets Lentz, a recognizable type of the mad scientist, with "freakish frontal lobes," a "monstrous beak," 1 and an aversion both to natural light and to human contact. Lentz works with neural networks which mimic and perhaps reenact associative learning, and is training his current net to recognize beauty by playing it Mozart. With Powers as his research assistant he develps a project to build a neural network that will learn to interpret and comment on any text in the examination taken by Masters students in English for admission to Ph.D. candidacy; the test (a classic Turing test) will be taken in a blind competition with a real person.
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