Procedural Content Generation via Machine Learning (PCGML)

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 c...

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Veröffentlicht in:	IEEE transactions on games 2018-09, Vol.10 (3), p.257-270
Hauptverfasser:	Summerville, Adam, Snodgrass, Sam, Guzdial, Matthew, Holmgard, Christoffer, Hoover, Amy K., Isaksen, Aaron, Nealen, Andy, Togelius, Julian
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Card games Clustering Computational and artificial intelligence Content analysis Data transfer (computers) design tools electronic design methodology Games knowledge representation Machine learning Machine learning algorithms Maintenance engineering Markov chains Media Neural networks pattern analysis procedural content generation (PCG) Sound effects Training
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