Mixed-initiative procedural generation of dungeons using game design patterns

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Mixed-initiative procedural generation of dungeons using game design patterns

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Publication Paper in proceeding
Title Mixed-initiative procedural generation of dungeons using game design patterns
Author Baldwin, Alexander ; Dahlskog, Steve ; Font, Jose ; Holmberg, Johan
Date 2017
English abstract
Abstract: Procedural Content Generation (PCG) can be a useful tool for aiding creativity in the process of designing game levels. Mixed-initiative level generation tools where a designer and an algorithm collaborate to iteratively generate game levels have been used for this purpose. However, it can be difficult for designers to work with tools that do not respond to the common language of games: game design patterns. We present the Evolutionary Dungeon Designer, the first step towards a mixed-initiative dungeon design tool which evolves dungeon rooms using game design patterns, as well as several metrics regarding the placement of treasures and enemies, in the fitness function of a genetic algorithm. Our results show that we are able to control the frequency, shape and type of design patterns, as well as properly place enemies and treasures in the generated rooms, using design pattern-related input parameters.
Conference
2017 IEEE Conference on Computational Intelligence and Games (CIG) (22-25 August, 2017 : New York, USA)
DOI https://doi.org/10.1109/CIG.2017.8080411 (link to publisher's fulltext.)
Publisher IEEE
Host/Issue Proceedings of the 2017 IEEE Conference on Computational Intelligence and Games (CIG);
ISBN 978-1-5386-3233-8
Pages 25-32
Language eng (iso)
Subject Games
Genetic algorithms
Algorithm design and analysis
Sociology
Statistics
Tools
Generators
Technology
Research Subject Categories::TECHNOLOGY
Note The Computational Intelligence and Games (CIG) conference series bring... (see Details for more)
Handle http://hdl.handle.net/2043/24156 Permalink to this page
Link http://www.cig2017.com... (external link to related web page)
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