Procedural Content Generation in Games

Beschreibung

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.

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. 

Autor*in

Noor Shaker

Themen in »Procedural Content Generation in Games«

Answer-set programming (ASP) Artificial intelligence (AI) Computational intelligence (CI) Constraints Design Fractals Games Graphics Human-computer interaction (HCI) L-systems

Stimmen zu »Procedural Content Generation in Games«

Details

Link teilen