Artificial intelligence: Wining ways.
Humans may be losing the upper hand against artificial intelligence in the game of Go, a strategic contest where two players take turns to place stones on the intersections of a grid and try to surround their opponent. Invented over 2,500 years ago in China, the extraordinarily complex play of this...
| Publicado en: | Economist Vol. 382; pp. 80 - 81 |
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| Formato: | Artículo |
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Economist Newspaper Limited
January 27 2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=507955450&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507955450 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00130613 ECO jtl: Economist issn: 00130613 maglogo: N pubinfo: dt: January 27 2007 vid: 382 pid: 161 pub: Economist Newspaper Limited artinfo: ui: 507955450 ppf: 80 ppct: 1 formats: tig: atl: Artificial intelligence: Wining ways. aug: su: Go (Game) Video games Monte Carlo method sug: subj: Go (Game) Video games Monte Carlo method ab: Humans may be losing the upper hand against artificial intelligence in the game of Go, a strategic contest where two players take turns to place stones on the intersections of a grid and try to surround their opponent. Invented over 2,500 years ago in China, the extraordinarily complex play of this game has previously confounded computer programs. Now, however, programmers are making impressive strides with a form of statistical sampling known as the Monte Carlo method. Already, a new generation of fast programs has emerged that play particularly well on small versions of the Go board. In time, humanity may have to concede victory to artificial intelligence on yet another front. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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