Climate Change Data Portal
| DOI | 10.1016/j.tree.2020.04.006 |
| Artificial Intelligence Accidentally Learned Ecology through Video Games | |
| Barbe L.; Mony C.; Abbott B.W. | |
| 发表日期 | 2020 |
| ISSN | 0169-5347 |
| 英文摘要 | An advanced artificial intelligence (AI) system defeated the best human players in StarCraft II, a popular real-time 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. © 2020 Elsevier Ltd |
| 关键词 | articleartificial intelligenceecologyhabitathumanvideo game |
| 语种 | 英语 |
| 来源机构 | Trends in Ecology and Evolution |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/133914 |
| 推荐引用方式 GB/T 7714 | Barbe L.,Mony C.,Abbott B.W.. Artificial Intelligence Accidentally Learned Ecology through Video Games[J]. Trends in Ecology and Evolution,2020. |
| APA | Barbe L.,Mony C.,&Abbott B.W..(2020).Artificial Intelligence Accidentally Learned Ecology through Video Games.. |
| MLA | Barbe L.,et al."Artificial Intelligence Accidentally Learned Ecology through Video Games".(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
