Procedural Content Generation via Machine Learning (PCGML)

Adam Summerville
Adam Summerville
Matthew Guzdial
Matthew Guzdial
Aaron Isaksen
Aaron Isaksen

IEEE Transactions on Games, pp. 257-270, 2018.

被引用113|浏览17
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摘要

This survey explores procedural content generation via machine learning (PCGML), defined as the generation of game content using machine learning models trained on existing content. As the importance of PCG for game development increases, researchers explore new avenues for generating high-quality content with or without human involvement...更多

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