  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.
