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        The AI Settlement Generation Challenge in Minecraft : First Year Report

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        Final Accepted Version (PDF, 48Mb)
        Author
        Salge, Christoph
        Green, Michael Cerny
        Canaan, Rodrigo
        Skwarski, Filip
        Fritsch, Rafael
        Brightmoore, Adrian
        Ye, Shaofang
        Cao, Changxing
        Togelius, Julian
        Attention
        2299/22448
        Abstract
        This article outlines what we learned from the first year of the AI Settlement Generation Competition in Minecraft, a competition about producing AI programs that can generate interesting settlements in Minecraft for an unseen map. This challenge seeks to focus research into adaptive and holistic procedural content generation. Generating Minecraft towns and villages given existing maps is a suitable task for this, as it requires the generated content to be adaptive, functional, evocative and aesthetic at the same time. Here, we present the results from the first iteration of the competition. We discuss the evaluation methodology, present the different technical approaches by the competitors, and outline the open problems.
        Publication date
        2020-03-01
        Published in
        Kunstliche Intelligenz
        Published version
        https://doi.org/10.1007/s13218-020-00635-0
        License
        Other
        Other links
        http://hdl.handle.net/2299/22448
        Relations
        School of Physics, Engineering & Computer Science
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