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The AI Settlement Generation Challenge in Minecraft: First Year Report

Authors :
Salge, Christoph
Green, Michael Cerny
Canaan, Rodrigo
Skwarski, Filip
Fritsch, Rafael
Brightmoore, Adrian
Ye, Shaofang
Cao, Changxing
Togelius, Julian
Source :
KI-K\"unstliche Intelligenz 2020
Publication Year :
2021

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.<br />Comment: 14 pages, 9 figures, published in KI-K\"unstliche Intelligenz

Details

Database :
arXiv
Journal :
KI-K\"unstliche Intelligenz 2020
Publication Type :
Report
Accession number :
edsarx.2103.14950
Document Type :
Working Paper