Design Space Descriptions for Logical Generation of Content

Thomas Smith, Julian Padget, Andrew Vidler

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

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This paper describes our research-in-progress into providing content-agnostic procedural content generation for computer games via answer set programming and a formal semantic description of the design space. Existing generative approaches are often closely coupled to a particular form of content and/or game, limiting opportunities for re-use --- a dungeon level generator in one game is substantially different to a sci-fi weapon generator in another. We propose an approach involving a re-usable generator system that is able to produce and refine a model of any structured content from formal desired properties produced by designers. As an intermediate step towards this system for multi-purpose content generation we present initial work on generating content within a commercial game engine, using answer set programming to generate varied and challenging combat progressions for third-person action/combat games. By using semantic models as input for a content-agnostic generation system, we hope to provide more domain-general content generation.
Original languageEnglish
Title of host publicationSTAIRS 2016 - Proceedings of the Eighth European Starting AI Researcher Symposium
EditorsDavid Pearce, Helena Sofia Pinto
PublisherIOS Press
Number of pages6
ISBN (Print)978-1-61499-681-1
Publication statusPublished - Aug 2016

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press


  • procedural content generation
  • generative methods
  • answer set programming
  • video games


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