Generative Design in Minecraft (GDMC), Settlement Generation Competition
Christoph Salge, Michael Cerny Green, Rodrigo Canaan, Julian, Togelius

TL;DR
This paper presents a competition for AI agents to generate realistic and appealing settlements in Minecraft, aiming to advance procedural content generation and address challenges in adaptive, holistic design.
Contribution
It introduces the first Minecraft settlement generation competition, focusing on advancing AI-driven procedural content generation for complex, believable environments.
Findings
Defined technical challenge and rules of the competition
Identified key scientific challenges in adaptive and holistic PCG
Established a benchmark for future AI settlement generation methods
Abstract
This paper introduces the settlement generation competition for Minecraft, the first part of the Generative Design in Minecraft challenge. The settlement generation competition is about creating Artificial Intelligence (AI) agents that can produce functional, aesthetically appealing and believable settlements adapted to a given Minecraft map - ideally at a level that can compete with human created designs. The aim of the competition is to advance procedural content generation for games, especially in overcoming the challenges of adaptive and holistic PCG. The paper introduces the technical details of the challenge, but mostly focuses on what challenges this competition provides and why they are scientifically relevant.
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Taxonomy
TopicsArtificial Intelligence in Games · Robotic Path Planning Algorithms · AI-based Problem Solving and Planning
