Procedural content generation via machine learning: an overview
Auteur :
Guzdial, Matthew / Snodgrass, Sam / Summerville, Adam
Éditeur :
Springer International Publishing AG
ISBN :
9783031847554
Date de publication :
31 mai 2025
Dimensions :
24,0 x 16,8 cm
Langue :
Anglais
Pays d'origine :
Suisse
This second edition updates and expands upon the first beginner-focused guide to Procedural Content Generation via Machine Learning (PCGML), which is the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content.