„AlphaGo“ – Versionsunterschied
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changed redirecting Google DeepMind to be a main article. copied content from Google DeepMind#Go success using artificial intelligence and added more information. added to Wikidata:Q22329209 (es:AlphaGo and ru:AlphaGo). |
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'''AlphaGo''' is a [[computer Go]] program developed by [[Google DeepMind]]. In October 2015, AlphaGo |
'''AlphaGo''' is a [[computer Go]] program developed by [[Google DeepMind]]. Go is considered much more difficult for computers to win compared to other games like [[chess]], due to the much larger number of possibilities, making it prohibitively difficult for traditional AI methods such as [[Brute-force search|brute-force]].<ref name="googlego">{{cite web|url=http://googleresearch.blogspot.com/2016/01/alphago-mastering-ancient-game-of-go.html|title=Research Blog: AlphaGo: Mastering the ancient game of Go with Machine Learning|author=|date=27 January 2016|work=Google Research Blog}}</ref><ref name="bbcgo"/> In October 2015, AlphaGo defeated the European [[Go (game)|Go]] champion [[Fan Hui]], a [[Go ranks and ratings|2 dan]] (out of 9 dan possible) professional, five to zero.<ref name="bbcgo">{{cite web|url=http://www.bbc.com/news/technology-35420579|title=Google achieves AI 'breakthrough' by beating Go champion|author=|date=27 January 2016|work=BBC News}}</ref> This is the first time an artificial intelligence (AI) defeated a professional player.<ref name="lemondego">{{cite web|url=http://www.lemonde.fr/pixels/article/2016/01/27/premiere-defaite-d-un-professionnel-du-go-contre-une-intelligence-artificielle_4854886_4408996.html|title=Première défaite d’un professionnel du go contre une intelligence artificielle|author=|date=27 January 2016|work=Le Monde}}</ref> Previously, computers were only known to have played Go at "amateur" level.<ref name="bbcgo"/><ref name="googlego"/> The announcement of the news was delayed until 27 January 2016 to coincide with the publication of a paper in the journal [[Nature (journal)|''Nature'']]<ref>{{cite web|url=http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html|title=Mastering the game of Go with deep neural networks and tree search|publisher=''[[Nature (journal)|Nature]]''|date=28 January 2016|accessdate=28 January 2016}}</ref> describing the algorithms used.<ref name="bbcgo" /> |
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AlphaGo will challenge South Korean Go player [[Lee Se-dol]] in March 2016.<ref>{{cite web|url=http://money.cnn.com/2016/01/28/technology/google-computer-program-beats-human-at-go/index.html|title=Computer scores big win against humans in ancient game of Go|publisher=[[CNN]]|date=28 January 2016|accessdate=28 January 2016}}</ref> |
AlphaGo will challenge South Korean Go player [[Lee Se-dol]] in March 2016.<ref>{{cite web|url=http://money.cnn.com/2016/01/28/technology/google-computer-program-beats-human-at-go/index.html|title=Computer scores big win against humans in ancient game of Go|publisher=[[CNN]]|date=28 January 2016|accessdate=28 January 2016}}</ref> |
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Version vom 29. Januar 2016, 00:37 Uhr
AlphaGo is a computer Go program developed by Google DeepMind. Go is considered much more difficult for computers to win compared to other games like chess, due to the much larger number of possibilities, making it prohibitively difficult for traditional AI methods such as brute-force.[1][2] In October 2015, AlphaGo defeated the European Go champion Fan Hui, a 2 dan (out of 9 dan possible) professional, five to zero.[2] This is the first time an artificial intelligence (AI) defeated a professional player.[3] Previously, computers were only known to have played Go at "amateur" level.[2][1] The announcement of the news was delayed until 27 January 2016 to coincide with the publication of a paper in the journal Nature[4] describing the algorithms used.[2]
AlphaGo will challenge South Korean Go player Lee Se-dol in March 2016.[5]
References
- ↑ a b Research Blog: AlphaGo: Mastering the ancient game of Go with Machine Learning. In: Google Research Blog. 27. Januar 2016.
- ↑ a b c d Google achieves AI 'breakthrough' by beating Go champion. In: BBC News. 27. Januar 2016.
- ↑ Première défaite d’un professionnel du go contre une intelligence artificielle. In: Le Monde. 27. Januar 2016.
- ↑ Mastering the game of Go with deep neural networks and tree search. Nature, 28. Januar 2016, abgerufen am 28. Januar 2016.
- ↑ Computer scores big win against humans in ancient game of Go. CNN, 28. Januar 2016, abgerufen am 28. Januar 2016.