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Computational Synthesis and Creative Systems - Shaker N., Togelius J., Nelson M. - Procedural Content Generation in Games [2016, PDF, ENG]

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Post 28-Dec-2016 01:00


Procedural Content Generation in Games
Год издания: 2016
Автор: Noor Shaker, Julian Togelius, Mark J. Nelson
Издательство: Springer
ISBN: 978-3319427140
Серия: Computational Synthesis and Creative Systems
Язык: Английский
Формат: PDF
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 237
Описание: This book presents the most up-to-date coverage of procedural content generation (PCG) for games, specifically the procedural generation of levels, landscapes, items, rules, quests, or other types of content. Each chapter explains an algorithm type or domain, including fractal methods, grammar-based methods, search-based and evolutionary methods, constraint-based methods, and narrative, terrain, and dungeon generation.
The authors are active academic researchers and game developers, and the book is appropriate for undergraduate and graduate students of courses on games and creativity; game developers who want to learn new methods for content generation; and researchers in related areas of artificial intelligence and computational intelligence.

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Table of contents (12 chapters)
Togelius, Julian (et al.)
Pages 1-15
The search-based approach
Togelius, Julian (et al.)
Pages 17-30
Constructive generation methods for dungeons and levels
Shaker, Noor (et al.)
Pages 31-55
Fractals, noise and agents with applications to landscapes
Shaker, Noor (et al.)
Pages 57-72
Grammars and L-systems with applications to vegetation and levels
Togelius, Julian (et al.)
Pages 73-98
Rules and Mechanics
Nelson, Mark J. (et al.)
Pages 99-121
Planning with applications to quests and story
Cheong, Yun-Gyung (et al.)
Pages 123-141
ASP with Applications to Mazes and Levels
Nelson, Mark J. (et al.)
Pages 143-157
Representations for search-based methods
Ashlock, Dan (et al.)
Pages 159-179
The experience-driven perspective
Shaker, Noor (et al.)
Pages 181-194
Mixed-initiative content creation
Liapis, Antonios (et al.)
Pages 195-214
Evaluating content generators
Shaker, Noor (et al.)
Pages 215-224
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