AIJul 19, 2023

Generating Redstone Style Cities in Minecraft

arXiv:2307.09777v14 citationsh-index: 69
Originality Incremental advance
AI Analysis

This work addresses the need for diverse city scenarios in Minecraft, potentially aiding in digital and real-world city design, but it is incremental as it builds on existing competition entries.

The paper tackled the problem of procedurally generating Redstone-style cities in Minecraft by developing a generator with six steps and testing three layout algorithms. Experimental results showed the heuristic-based algorithm was faster for flat maps and the evolving layout algorithm performed better for rugged maps, with a user study indicating strong performance in adaptation and functionality criteria.

Procedurally generating cities in Minecraft provides players more diverse scenarios and could help understand and improve the design of cities in other digital worlds and the real world. This paper presents a city generator that was submitted as an entry to the 2023 Edition of Minecraft Settlement Generation Competition for Minecraft. The generation procedure is composed of six main steps, namely vegetation clearing, terrain reshaping, building layout generation, route planning, streetlight placement, and wall construction. Three algorithms, including a heuristic-based algorithm, an evolving layout algorithm, and a random one are applied to generate the building layout, thus determining where to place different redstone style buildings, and tested by generating cities on random maps in limited time. Experimental results show that the heuristic-based algorithm is capable of finding an acceptable building layout faster for flat maps, while the evolving layout algorithm performs better in evolving layout for rugged maps. A user study is conducted to compare our generator with outstanding entries of the competition's 2022 edition using the competition's evaluation criteria and shows that our generator performs well in the adaptation and functionality criteria

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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