Springer - Procedural Content Generation via Machine Learning

Explore the transformative intersection of artificial intelligence and game design with this comprehensive guide from Springer. As machine learning continues to impact various industries, its role in the video game sector is becoming increasingly significant. This book provides an overview of Procedural Content Generation via Machine Learning (PCGML), a method where computers learn from existing content to generate entirely new assets. Readers will learn how PCGML can be used to create diverse game elements, including levels, quests, and characters. This text is designed to be the first beginner-focused guide to the field, making complex concepts accessible to those new to the topic. Whether you are interested in the current state of the industry or looking toward future approaches, this book offers a clear survey of how machine learning is poised to change how video game content is produced.