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Procedural Content Generation via Machine Learning: An Overview - Synthesis Lectures on Games and Computational Intelligence Matthew Guzdial 2022 edition
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Procedural Content Generation via Machine Learning: An Overview - Synthesis Lectures on Games and Computational Intelligence
Matthew Guzdial
This book surveys current and future approaches to generating video game content with machine learning or Procedural Content Generation via Machine Learning (PCGML). PCGML addresses the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content.
238 pages, 63 Illustrations, color; 19 Illustrations, black and white; XIII, 238 p. 82 illus., 63 il
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 7 de diciembre de 2022 |
| ISBN13 | 9783031167188 |
| Editores | Springer International Publishing AG |
| Páginas | 238 |
| Dimensiones | 150 × 220 × 20 mm · 605 g |
| Lengua | Alemán |