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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Procedural Content Generation Via Machine Learning: An Overview

Procedural Content Generation Via Machine Learning: An Overview

Guzdial, Matthew
Snodgrass, Sam
Summerville, Adam J.

Paperback

Series: Synthesis Lectures on Games and Computational Intelligence

Technology & EngineeringGeneral ComputersProgramming

Currently unavailable to order

ISBN10: 303116721X
ISBN13: 9783031167218
Publisher: Springer
Published: Dec 7 2023
Pages: 238
Weight: 0.90
Height: 0.53 Width: 6.61 Depth: 9.45
Language: English
This book surveys current and future approaches to generating video game content with machine learning or Procedural Content Generation via Machine Learning (PCGML). Machine learning is having a major impact on many industries, including the video game industry. 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. The authors illustrate how PCGML is poised to transform the video games industry and provide the first ever beginner-focused guide to PCGML. This book features an accessible introduction to machine learning topics, and readers will gain a broad understanding of currently employed PCGML approaches in academia and industry. The authors provide guidance on how best to set up a PCGML project and identify open problems appropriate for a research project or thesis. This book is written with machine learning and games novices in mind and includes discussions of practical and ethical considerations along with resources and guidance for starting a new PCGML project.

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