Believable Minecraft Settlements by Means of Decentralised Iterative Planning
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Abstract (arXiv)
Procedural city generation that focuses on believability and adaptability to random terrain is a difficult challenge in the field of Procedural Content Generation (PCG). Dozens of researchers compete for a realistic approach in challenges such as the Generative Settlement Design in Minecraft (GDMC), in which our method has won the 2022 competition. This was achieved through a decentralised, iterative planning process that is transferable to similar generation processes that aims to produce "organic" content procedurally.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 28 references that are in the map. First posted on arXiv 19 Sep 2023.
Builds on
8 of 28 references.
References · 8
- 2023Mastering Diverse Domains through World Modelscited by 1,253
- 2019The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priorscited by 26
- 2018Generative Design in Minecraft (GDMC), Settlement Generation Competitioncited by 22
- 2019Organic Building Generation in Minecraftcited by 10
- 2019Generative Design in Minecraft: Chronicle Challengecited by 8
- 2021Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generationcited by 5
- 2023Hierarchically Composing Level Generators for the Creation of Complex Structurescited by 4
- 2022Automated Isovist Computation for Minecraftcited by 2
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