Exploring Minecraft Settlement Generators with Generative Shift Analysis

Jean-Baptiste Hervé, Oliver Withington, Marion Hervé, Laurissa Tokarchuk, Christoph Salge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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With growing interest in Procedural Content Generation (PCG) it becomes increasingly important to develop methods and tools for evaluating and comparing alternative systems. There is a particular lack regarding the evaluation of generative pipelines, where a set of generative systems work in series to make iterative changes to an artifact. We introduce a novel method called Generative Shift for evaluating the impact of individual stages in a PCG pipeline by quantifying the impact that a generative process has when it is applied to a pre-existing artifact. We explore this technique by applying it to a very rich dataset of Minecraft game maps produced by a set of alternative settlement generators developed as part of the Generative Design in Minecraft Competition (GDMC), all of which are designed to produce appropriate settlements for a pre-existing map. While this is an early exploration of this technique we find it to be a promising lens to apply to PCG evaluation, and we are optimistic about the potential of Generative Shift to be a domain-agnostic method for evaluating generative pipelines.
Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
Place of PublicationSalt Lake City
Number of pages11
Publication statusPublished - 28 Aug 2023
Event10th Experimental Artificial Intelligence in Games Workshop at the Nineteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-23) - virtual, Salt Lake City, United States
Duration: 8 Oct 20238 Oct 2023
Conference number: 10

Publication series

NameAIIDEWorkshoponExperimentalArtificial Intelligence inGames,
ISSN (Print)1613-0073


Conference10th Experimental Artificial Intelligence in Games Workshop at the Nineteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-23)
Abbreviated titleEXAG workshop AIIDE-23
Country/TerritoryUnited States
CitySalt Lake City
OtherThe Experimental AI in Games (EXAG) workshop is a workshop held at the AI for Interactive Digital Entertainment conference (AIIDE). At EXAG, AI practitioners from academia and industry are given a platform to showcase their work on new applications of AI in games.

EXAG will be taking place for its 10th year at the 2023 AIIDE AIIDE Conference. Beyond being just a workshop, EXAG aims to foster a community where new ideas can be proposed and developed within the space of the workshop itself, thanks to sessions that emphasize showing, teaching, and inventing, alongside the traditional paper presentations. We hope to continuously support the presence of diverse voices from diverse backgrounds, in our AIIDE community, through new participants choosing to attend the broader conference.
Internet address


  • cs.AI


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