GSTDTAP  > 资源环境科学
DOI10.1016/j.tree.2020.04.006
Artificial Intelligence Accidentally Learned Ecology through Video Games
Barbe, Lou1; Mony, Cendrine1; Abbott, Benjamin W.2
2020-05-07
发表期刊TRENDS IN ECOLOGY & EVOLUTION
ISSN0169-5347
EISSN1872-8383
出版年2020
卷号35期号:7页码:557-560
文章类型Editorial Material
语种英语
国家France; USA
英文摘要

An advanced artificial intelligence (AI) system defeated the best human players in StarCraft II, a popular realtime strategy game. In a virtual ecosystem, players compete for habitats and resources, unintentionally reproducing many ecological phenomena. We propose to repurpose this AI to test ecological hypotheses that have been intractable using traditional approaches.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000540372400003
WOS关键词GO
WOS类目Ecology ; Evolutionary Biology ; Genetics & Heredity
WOS研究方向Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity
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引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/249845
专题资源环境科学
作者单位1.Univ Rennes, CNRS, OSUR, ECOBIO, F-35000 Rennes, France;
2.Brigham Young Univ, Dept Plant & Wildlife Sci, Provo, UT 84602 USA
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GB/T 7714
Barbe, Lou,Mony, Cendrine,Abbott, Benjamin W.. Artificial Intelligence Accidentally Learned Ecology through Video Games[J]. TRENDS IN ECOLOGY & EVOLUTION,2020,35(7):557-560.
APA Barbe, Lou,Mony, Cendrine,&Abbott, Benjamin W..(2020).Artificial Intelligence Accidentally Learned Ecology through Video Games.TRENDS IN ECOLOGY & EVOLUTION,35(7),557-560.
MLA Barbe, Lou,et al."Artificial Intelligence Accidentally Learned Ecology through Video Games".TRENDS IN ECOLOGY & EVOLUTION 35.7(2020):557-560.
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