Believable Minecraft Settlements by Means of Decentralised Iterative Planning

TL;DR

This paper presents a decentralized, iterative planning method for generating believable Minecraft settlements, winning the 2022 GDMC competition, and demonstrating its potential for creating realistic, organic content in procedural city generation.

Contribution

The paper introduces a novel decentralized iterative planning approach that enhances believability and adaptability in procedural city generation, specifically applied to Minecraft settlements.

Findings

Won the 2022 GDMC competition

Effective in generating organic, believable settlements

Transferable to other procedural content generation tasks

Abstract

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.