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The AI Settlement Generation Challenge in Minecraft : First Year Report
Authors
Adrian Brightmoore
Rodrigo Canaan
+7 more
Changxing Cao
Rafael Fritsch
Michael Cerny Green
Christoph Salge
Filip Skwarski
Julian Togelius
Shaofang Ye
Publication date
1 March 2020
Publisher
'Springer Science and Business Media LLC'
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on
arXiv
Abstract
© 2020 Springer-Verlag. This is a post-peer-review, pre-copyedit version of an article published in KI - Künstliche Intelligenz. The final authenticated version is available online at: https://doi.org/10.1007/s13218-020-00635-0.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.Peer reviewedFinal Accepted Versio
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Last time updated on 27/03/2020