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Advances in Computer Games
This book constitutes the refereed post proceedings of the 18th International Conference on Advances in Computer Games, ACG 2023, held online, during November 28–30, 2023. The 14 full papers included in this book were carefully reviewed and selected from 29 submissions. They were organized in topical sections as follows: Chess and its Variants, Solving Games, Board Games, Card Games, Player Investigation, Math, Games, and Puzzles.
Data Science and Artificial Intelligence
This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27–30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.
Advances in Computer Games
This book constitutes the refereed post-conference proceedings of the 16th International Conference on Advances in Computer Games, ACG 2019, held in Macao, China, in August 2019. The 12 full papers presented together with 2 invited papers were carefully reviewed and selected from 19 submissions. The selected papers are devoted to topics such as cooperation; single player games; mathematical approaches; nonogram: general and specific approaches; and deep learning.
Advances in Computer Games
This book constitutes the refereed post-conference proceedings of the 17th International Conference on Advances in Computer Games, ACG 2021, which was held as a virtual event during November 23–25, 2021. The 22 full papers included in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: learning in games; search in games; solving games; chess patterns; player modelling; and game systems.
Procedural Content Generation via Machine Learning
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.
Computers and Games
This book constitutes the refereed proceedings of the International Conference on Computers and Games, CG 2022, held virtually, during November 22–24, 2022. The 15 full papers included in this book were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: classic games, multi-player and multi-action games, solving games, measuring games, decision making in games and puzzles.
