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The AI Settlement Generation Challenge in Minecraft

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Text/Journal Article
Datum
2020
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KI - Künstliche Intelligenz: Vol. 34, No. 1
Verlag
Springer
Zusammenfassung
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.
Beschreibung
Salge, Christoph; Green, Michael Cerny; Canaan, Rodrigo; Skwarski, Filip; Fritsch, Rafael; Brightmoore, Adrian; Ye, Shaofang; Cao, Changxing; Togelius, Julian (2020): The AI Settlement Generation Challenge in Minecraft. KI - Künstliche Intelligenz: Vol. 34, No. 1. DOI: 10.1007/s13218-020-00635-0. Springer. PISSN: 1610-1987. pp. 19-31
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