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    You are at:Home»Artificial Intelligence»See Who Lives And Dies in GOT 8 According to AI Algorithm
    Game of Thrones

    See Who Lives And Dies in GOT 8 According to AI Algorithm

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    By AdeO on April 12, 2019 Artificial Intelligence, Entertainment, Film, Technology
    The final season of the much-anticipated Game of Thrones is starting this weekend (April 14) and of course, fans can’t wait to sit in front of their screens to watch as events that will lead to determining who takes the throne unfolds. Before then, technology in the form of Artificial Intelligence has ramped up the anticipation by predicting who lives, dies and survives in GOT. So, students attending a computer science seminar at the Technical University of Munich (TUM) worked on the Game of Thrones season 8 predictions using a machine learning algorithm. The students developed an application that searches the web for Game of Thrones (GoT) data and uses a set of AI algorithms they created.

    Who has the best chance of sitting on the Iron Throne?

    The machine learning algorithm developed now by the students predicts that: • Daenerys Targaryen has the highest with 99% chance of surviving Game of Thrones; and • Tyrion Lannister also has a high chance of survival, 97%.
    GOT
    Sansa Stark
    According to the algorithm, the characters with the highest chance of dying next are: • Bronn, who has a 93.5% chance; • Gregor Clegane, with 80.35%; and • Sansa Stark, with a 73.35% chance.

    The list of survival rates

    The survival rates for Game of Thrones season 8 were predicted using longevity analysis. This is a technique similar to scientific studies that examine the effects of treatments and complications on cancer patients.
    • Daenerys Targaryen – 0.9%
    • Tyrion Lannister – 2.5%
    • Varys -3.2%
    • Samwell Tarly- 3.3%
    • Jaime Lannister-4.0%
    The full list of characters and their survival chances is available online.

    How accurate is the prediction?

    Although the algorithm can only predict what will happen in Game of Thrones season 8, in 2016 before the airing of Season 6, students on the same course created an algorithm that was able to accurately predict Jon Snow’s resurrection. The lead mentor of the class, Dr. Guy Yachdav, commented: “while the task of predicting survival chances for Game of Thrones characters relies on data taken from the world of fantasy, the exact same artificial intelligence techniques are used in the real world and are having a powerful impact on our everyday lives.” The work on the algorithm for Game of Thrones survival chances is part of a JavaScript seminar which is given each semester at the Technical University of Munich computer science department. The course involves learning how to design, develop, and apply intelligent computer systems.

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