Procedural content generation in gam...
Nelson, Mark J.

 

  • Procedural content generation in games[electronic resource] /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 794.8151
    書名/作者: Procedural content generation in games/ by Noor Shaker, Julian Togelius, Mark J. Nelson.
    作者: Shaker, Noor.
    其他作者: Togelius, Julian.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xvi, 237 p. : : ill. (some col.), digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Computer Science.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Game Development.
    標題: Computational Intelligence.
    標題: User Interfaces and Human Computer Interaction.
    標題: Computer Appl. in Arts and Humanities.
    標題: Electronic games - Programming.
    標題: Generators (Computer programs)
    ISBN: 9783319427164
    ISBN: 9783319427140
    內容註: Introduction -- The Search-Based Approach -- Constructive Generation Methods for Dungeons and Levels -- Fractals, Noise and Agents with Applications to Landscapes and Textures -- Grammars and L-Systems with Applications to Vegetation and Levels -- Rules and Mechanics -- Planning with Applications to Quests and Story -- ASP with Applications to Mazes and Levels -- Representations for Search-Based Methods -- The Experience-Driven Perspective -- Mixed-Initiative Approaches -- Evaluating Content Generators.
    摘要、提要註: 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.
    電子資源: http://dx.doi.org/10.1007/978-3-319-42716-4
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