AI meets Angry Birds

Jochen Renz; Xiao Yu Ge; Matthew Stephenson; Peng Zhang

doi:10.1038/s42256-019-0072-x

AI meets Angry Birds

Jochen Renz, Xiao Yu Ge, Matthew Stephenson, Peng Zhang

Research output: Contribution to journal › Comment/debate

11 Citations (Scopus)

Abstract

Could this be the year that AI is going to surpass human performance in playing the popular video game Angry Birds? The organizers of the annual AIBIRDS competition discuss the challenges involved.

Angry Birds by Rovio Entertainment is one of the most popular video games of all time. It is also a simple and intuitive game that even small children can play well after some practice. However, so far no AI system has been developed that comes close to human performance.

Original language	English
Pages (from-to)	328
Number of pages	1
Journal	Nature Machine Intelligence
Volume	1
Issue number	7
DOIs	https://doi.org/10.1038/s42256-019-0072-x
Publication status	Published - Jul 2019
Externally published	Yes

Keywords

Angry Birds
AI and games
AIBIRDS competition
AI and robotics
internal physics
human performance

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10.1038/s42256-019-0072-xLicence: In Copyright

https://rdcu.be/c4wqhLicence: In Copyright

Cite this

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KW - Angry Birds

KW - AI and games

KW - AIBIRDS competition

KW - AI and robotics

KW - internal physics

KW - human performance

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AI meets Angry Birds

Abstract

Keywords

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