The AI Settlement Generation Challenge in Minecraft: First Year Report
This addresses the problem of adaptive procedural content generation for game developers and AI researchers, but it is incremental as it builds on existing competition frameworks.
The paper reports on the first year of the AI Settlement Generation Challenge in Minecraft, which tasked AI programs with generating adaptive and holistic settlements for unseen maps, and presents results including evaluation methods, competitor approaches, and open problems.
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.