Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/102388
Title: A general-purpose expressive algorithm for room-based environments
Authors: Sfikas, Konstantinos
Liapis, Antonios
Yannakakis, Georgios N.
Keywords: Level design (Computer science)
Artificial intelligence
Machine learning
Evolutionary computation
Evolutionary programming (Computer science)
Constrained optimization
Issue Date: 2022
Publisher: Foundations of Digital Games
Citation: Sfikas, K., Liapis, A. & Yannakakis, G. N. (2022). A general-purpose expressive algorithm for room-based environments. FDG workshop on Procedural Content Generation, Greece.
Abstract: This paper presents a generative architecture for general-purpose room layouts that can be treated as geometric definitions of dungeons, mansions, shooter levels and more. The motivation behind this work is to provide a design tool for virtual environments that combines aspects of controllability, expressivity and generality. Towards that end, a two-tier level representation is realized, with a graph-based design specification constraining and guiding the generated geometries, facilitated by constrained evolutionary search. Expressivity is secured through quality-diversity search which can provide the designer with a broad variety of level layouts to choose from. Finally, the generator is general-purpose as it can produce layouts based on different types of static grid structures or as freeform, curved structures through an adaptive Voronoi diagram that is evolved along with the level itself. The method is tested on a variety of design specifications and grid types, and results show that even with complex design constraints or malleable grids the algorithm can produce a broad variety of levels.
URI: https://www.um.edu.mt/library/oar/handle/123456789/102388
Appears in Collections:Scholarly Works - InsDG

Files in This Item:
File Description SizeFormat 
a_general-purpose_expressive_algorithm_for_room-based_environments_2022.pdf1.59 MBAdobe PDFView/Open


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.