Angry birds as a challenge for artificial intelligence

Jochen Renz, Xiao Yu Ge, Rohan Verma, Peng Zhang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Citations (Scopus)

    Abstract

    The Angry Birds AI Competition1 has been held annually since 2012 in conjunction with some of the major AI conferences, most recently with IJCAI 2015. The goal of the competition is to build AI agents that can play new Angry Birds levels as good as or better than the best human players. Successful agents should be able to quickly analyze new levels and to predict physical consequences of possible actions in order to select actions that solve a given level with a high score. Agents have no access to the game internal physics, but only receive screenshots of the live game. In this paper we describe why this problem is a challenge for AI, and why it is an important step towards building AI that can successfully interact with the real world. We also summarise some highlights of past competitions, including a new competition track we introduced recently.

    Original languageEnglish
    Title of host publication30th AAAI Conference on Artificial Intelligence, AAAI 2016
    PublisherAAAI Press
    Pages4338-4339
    Number of pages2
    ISBN (Electronic)9781577357605
    Publication statusPublished - 2016
    Event30th AAAI Conference on Artificial Intelligence, AAAI 2016 - Phoenix, United States
    Duration: 12 Feb 201617 Feb 2016

    Publication series

    Name30th AAAI Conference on Artificial Intelligence, AAAI 2016

    Conference

    Conference30th AAAI Conference on Artificial Intelligence, AAAI 2016
    Country/TerritoryUnited States
    CityPhoenix
    Period12/02/1617/02/16

    Fingerprint

    Dive into the research topics of 'Angry birds as a challenge for artificial intelligence'. Together they form a unique fingerprint.

    Cite this