The AI Settlement Generation Challenge in Minecraft: First Year Report

Christoph Salge, Michael Cerny Green, Rodrigo Canaan, Filip Skwarski, Rafael Fritsch, Adrian Brightmoore, Shaofang Ye, Changxing Cao, Julian Togelius

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
244 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)19–31
Number of pages13
JournalKunstliche Intelligenz
Issue number1
Early online date18 Jan 2020
Publication statusPublished - 1 Mar 2020

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