Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/47521
Title: Exploring the visual styles of arcade game assets
Authors: Liapis, Antonios
Keywords: Computer graphics
Video games -- Design
Issue Date: 2016
Publisher: Springer
Citation: Liapis, A. (2016). Exploring the visual styles of arcade game assets. Proceedings of International Conference on Computational Intelligence in Music, Sound, Art and Design. Springer, Porto. 92-109.
Abstract: This paper describes a method for evolving assets for video games based on their visuals properties. Focusing on assets for a space shooter game, a genotype consisting of turtle commands is transformed into a spaceship image composed of human-authored sprite components. Due to constraints on the final spaceships’ plausibility, the paper investigates two-population constrained optimization and constrained novelty search methods. A sample of visual styles is tested, each a combination of visual metrics which primarily evaluate balance and shape complexity. Experiments with constrained optimization of a visual style demonstrate that a visually consistent set of spaceships can be generated, while experiments with constrained novelty search demonstrate that several distinct visual styles can be discovered by exploring along select, or all, visual dimensions.
URI: https://www.um.edu.mt/library/oar/handle/123456789/47521
Appears in Collections:Scholarly Works - InsDG

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