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© 2011

Evolutionary Game Design

Benefits

  • Describes the world's first experiment in fully automated game design.

  • Includes the first commercially published board game to be designed by computer.

  • Includes a new game description language for describing general games.

  • Provides unique insights into the game design process.

  • Describes 57 aesthetic criteria used to identify interesting games

  • Should appeal to AI researchers and anyone interested in games

Book

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Cameron Browne
    Pages 1-4
  3. Cameron Browne
    Pages 5-10
  4. Cameron Browne
    Pages 11-21
  5. Cameron Browne
    Pages 23-36
  6. Cameron Browne
    Pages 37-49
  7. Cameron Browne
    Pages 51-73
  8. Cameron Browne
    Pages 75-85
  9. Cameron Browne
    Pages 87-90
  10. Back Matter
    Pages 91-122

About this book

Introduction

The book describes the world's first successful experiment in fully automated board game design. Evolutionary methods were used to derive new rule sets within a custom game description language, and self-play trials used to estimate each derived game's potential to interest human players. The end result is a number of new and interesting games, one of which has proved popular and gone on to be commercially published.

Keywords

Aesthetics Artifical Intelligence Combinatorial games Evolutionary Approaches Game Design

Authors and affiliations

  1. 1.Imperial College LondonLondonUnited Kingdom

Bibliographic information

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Reviews

"[This book] is a valuable contribution to evolutionary computation and more generally to artificial intelligence. It is engaging to read, easy to follow and lives up to its promises. Furthermore, it delivers insights that should be helpful to anyone interested in AI and games. In the beginning, [the author] cites Leibniz who once said 'Human being are never more ingenious than in the invention of games'. In my opinion, [this book] says how to transfer parts of this ingenuity to the machine." (Amine Boumaza, Genetic Programming and Evolvable Machines, Springer, 2012)