Evolutionary-based procedural content generation for videogames
Автор: Mezhenin M.G.
Статья в выпуске: 1 т.3, 2014 года.
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The focus of this research is applying evolutionary algorithms to automatically generating and dynamically changing multimedia data within the context of procedural content generation (PCG) for videogames. Evolutionary computing allows personalizing and adapting the generated content, which is an increasingly important issue in videogame industry. In this paper, we describe existing evolutionary-based PCG systems and propose a universal method for videogame characters representation in such systems. An evolutionary PCG system based on this method was implemented as a part of this research. The system is universal and is well suited for integration in commercial and scientific game projects.
Procedural content generation, evolutionary computation, content personalization
Короткий адрес: https://sciup.org/147160519
IDR: 147160519