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Generative Art in Game Design: Utilizing Genetic Algorithms for Aesthetic Harmony

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1 diapositives · 170 Views · Nov 05, 2014

This study explores the intersection of generative art and game design, focusing on the use of genetic algorithms to create aesthetically pleasing backgrounds in 2D games developed with the Unity Game Engine. By leveraging computational techniques and principles of art, we employ fitness functions to achieve balance and tonal harmony in visual elements. The project highlights the potential for game design to foster both creativity and theoretical exploration in generative artistry, laying the groundwork for future developments in 3D environments with enhanced aesthetic models.

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  1. Georgia Institute of Technology 2012 Spring CS 8803_Computing, Creativity and Design Cognition Abstract Art – The Game STEP #1 STEP #2 STEP #3 STEP #4 STEP #5 AfshinMobramaein MS CS, Mikhail Jacob MS CS, SiddharthChauhan MS CS, Sang Hun Lee MS ISyE Ⅰ. introduction • Background: • New design disciplines like Interaction Design and Information Visualizationare based on the application of computational solutions to design problems, while generative arthas become a household term describing artworks articulated as code. • Game interface designers have turned to code as fertile ground for conceptual and formal experimentation, simultaneously providing a pragmatic framework for computational creativity and a theoretical context for the created artwork. • We have used genetic algorithms to create engaging background art procedurally. The art so generated satisfies a variety of the principles of art and aims to be aesthetically pleasing. II. Technique used • 2D game on the Unity Game Engine • We made use of the Kuler API to manage color placement in the background for achieving tonal harmony • Enemy creator, Shape generator, Scene creator scripts written to make game play adaptive to the user’s playing style • Genetic Algorithms: Fitness functions to achieve balance in distribution of objects over the screen Ⅲ. Game development Ⅳ. Future work • Currently, our game applies generative algorithms to satisfy the principles of balance and tonal harmony , but this is just one step towards making the art hence generated fit a comprehensive aesthetic model. • Our model can be extended to achieve proportion, unity and variety. • We also intend to create similar systems for 3D games with a more sophisticated set of aesthetic guidelines