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Artificial Intelligence Accidentally Learned Ecology through Video Games
- Source :
- Trends in Ecology and Evolution, Trends in Ecology and Evolution, Elsevier, 2020, 35 (7), pp.557-560. ⟨10.1016/j.tree.2020.04.006⟩, Trends in Ecology and Evolution, 2020, 35 (7), pp.557-560. ⟨10.1016/j.tree.2020.04.006⟩
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- International audience; 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.
- Subjects :
- 0106 biological sciences
Ecology
business.industry
Computer science
020209 energy
Ecology (disciplines)
ComputingMilieux_PERSONALCOMPUTING
02 engineering and technology
010603 evolutionary biology
01 natural sciences
GeneralLiterature_MISCELLANEOUS
Test (assessment)
Video Games
Artificial Intelligence
0202 electrical engineering, electronic engineering, information engineering
Humans
Learning
Artificial intelligence
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
business
Ecosystem
Ecology, Evolution, Behavior and Systematics
Subjects
Details
- ISSN :
- 01695347 and 18728383
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Trends in Ecology & Evolution
- Accession number :
- edsair.doi.dedup.....9b4b532ce4abf744587c41bb1fe9a1b8
- Full Text :
- https://doi.org/10.1016/j.tree.2020.04.006