Procedural Content Generation via Machine Learning (Record no. 84880)
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000 -LEADER | |
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fixed length control field | 03789nam a22005895i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-16719-5 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730163704.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221206s2022 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031167195 |
-- | 978-3-031-16719-5 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.31 |
100 1# - AUTHOR NAME | |
Author | Guzdial, Matthew. |
245 10 - TITLE STATEMENT | |
Title | Procedural Content Generation via Machine Learning |
Sub Title | An Overview / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2022. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIII, 238 p. 82 illus., 63 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Games and Computational Intelligence, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- Classical PCG -- An Introduction of ML Through PCG -- PCGML Process Overview -- Constraint-based PCGML Approaches -- Probabilistic PCGML Approaches -- Neural Networks: Introduction -- Sequence-based DNN PCGML -- Grid-based DNN PCGML -- Reinforcement Learning PCG -- Mixed-Initiative PCGML -- Open Problems -- Resource and Conclusions. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Programming. |
700 1# - AUTHOR 2 | |
Author 2 | Snodgrass, Sam. |
700 1# - AUTHOR 2 | |
Author 2 | Summerville, Adam J. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-16719-5 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2022. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
347 ## - | |
-- | text file |
-- | |
-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Machine learning. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer games |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Machine Learning. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Game Development. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2573-6493 |
912 ## - | |
-- | ZDB-2-SXSC |
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