@inproceedings{fdb69b0b1b1e46cfb8c34779f932f2ec,
title = "Design Space Descriptions for Logical Generation of Content",
abstract = "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. ",
keywords = "procedural content generation, generative methods, answer set programming, video games",
author = "Thomas Smith and Julian Padget and Andrew Vidler",
year = "2016",
month = aug,
doi = "10.3233/978-1-61499-682-8-209",
language = "English",
isbn = "978-1-61499-681-1",
volume = "284",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "209--214",
editor = "David Pearce and Pinto, {Helena Sofia}",
booktitle = "STAIRS 2016 - Proceedings of the Eighth European Starting AI Researcher Symposium",
address = "Netherlands",
}