完整後設資料紀錄
DC 欄位語言
dc.contributor.authorLee, Chang-Shingen_US
dc.contributor.authorWang, Mei-Huien_US
dc.contributor.authorYen, Shi-Jimen_US
dc.contributor.authorWei, Ting-Hanen_US
dc.contributor.authorWu, I-Chenen_US
dc.contributor.authorChou, Ping-Chiangen_US
dc.contributor.authorChou, Chun-Hsunen_US
dc.contributor.authorWang, Ming-Wanen_US
dc.contributor.authorYang, Tai-Hsiungen_US
dc.date.accessioned2017-04-21T06:55:44Z-
dc.date.available2017-04-21T06:55:44Z-
dc.date.issued2016-08en_US
dc.identifier.issn1556-603Xen_US
dc.identifier.urihttp://dx.doi.org/10.1109/MCI.2016.2572559en_US
dc.identifier.urihttp://hdl.handle.net/11536/134126-
dc.description.abstractThe Google DeepMind challenge match in March 2016 was a historic achievement for computer Go development. This article discusses the development of computational intelligence (CI) and its relative strength in comparison with human intelligence for the game of Go. We first summarize the milestones achieved for computer Go from 1998 to 2016. Then, the computer Go programs that have participated in previous IEEE CIS competitions as well as methods and techniques used in Alpha-Go are briefly introduced. Commentaries from three high-level professional Go players on the five AlphaGo versus Lee Sedol games are also included. We conclude that AlphaGo beating Lee Sedol is a huge achievement in artificial intelligence (AI) based largely on CI methods. In the future, powerful computer Go programs such as AlphaGo are expected to be instrumental in promoting Go education and AI real-world applications.en_US
dc.language.isoen_USen_US
dc.titleHuman vs. Computer Go: Review and Prospecten_US
dc.identifier.doi10.1109/MCI.2016.2572559en_US
dc.identifier.journalIEEE COMPUTATIONAL INTELLIGENCE MAGAZINEen_US
dc.citation.volume11en_US
dc.citation.issue3en_US
dc.citation.spage68en_US
dc.citation.epage73en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000380341700007en_US
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