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Procedural Content Generation via Machine Learning: An Overview (Synthesis Lectures on Games and Computational Intelligence) - Softcover
- PublisherSpringer
- Publication date2023
- ISBN 10 303116721X
- ISBN 13 9783031167218
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages252
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Procedural Content Generation via Machine Learning
Published by
Berlin Springer International Publishing Springer, 2023
ISBN 10: 303116721X
ISBN 13: 9783031167218
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 238 pp. Englisch. Seller Inventory # 9783031167218
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Procedural Content Generation via Machine Learning: An Overview (Synthesis Lectures on Games and Computational Intelligence)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Procedural Content Generation via Machine Learning: An Overview (Synthesis Lectures on Games and Computational Intelligence)
Print on DemandSeller: Majestic Books, Hounslow, United Kingdom
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Condition: New. Print on Demand. Seller Inventory # 397699674
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Procedural Content Generation via Machine Learning : An Overview
Published by
Springer International Publishing, Springer International Publishing, 2023
ISBN 10: 303116721X
ISBN 13: 9783031167218
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783031167218
Quantity: 1 available
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Procedural Content Generation via Machine Learning: An Overview (Synthesis Lectures on Games and Computational Intelligence)
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
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Procedural Content Generation via Machine Learning
Published by
Springer International Publishing, 2023
ISBN 10: 303116721X
ISBN 13: 9783031167218
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses the growing academic interest in PCGML Demonstrates common pitfalls in PCGML projects and how to avoid themProvides resources and guidance for starting new PCGML projectsMatthew Guzdial, Ph.D, is an Assistant Professor in . Seller Inventory # 1241470853
Quantity: Over 20 available
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Procedural Content Generation Via Machine Learning: An Overview
Published by
Springer-Nature New York Inc, 2023
ISBN 10: 303116721X
ISBN 13: 9783031167218
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Paperback
Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 251 pages. 9.45x6.61x0.57 inches. In Stock. Seller Inventory # x-303116721X
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Procedural Content Generation via Machine Learning (Paperback)
Published by
Springer International Publishing AG, Cham, 2023
ISBN 10: 303116721X
ISBN 13: 9783031167218
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Paperback
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9783031167218
Quantity: 1 available