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Genetic Programming and Evolvable Machines

, Volume 13, Issue 3, pp 407–409 | Cite as

Cameron Browne: Evolutionary game design, Springer briefs in computer science series

Springer 2011, ISBN: 978-1-4471-2178-7
  • Amine Boumaza
Book Review
  • 204 Downloads

How can computers create interesting games? What makes a game interesting and how can a machine decide if a game is of interest to humans? These are among the questions I asked myself when I was asked to review Cameron Brown’s book Evolutionary game design. Fortunately, after reading it I had some answers.

It begins by the introduction of “Yavalath”, the first commercially released board game that was entirely designed by a machine. After reading this short introduction, I was glued to the book by the desire to understand the central thesis: how can humans design machines that design games for humans? It lead me through the different design steps, as if I was reading a story; the story of the genesis of Yavalath.

Following this introduction, chapter 2 describes the class of combinatorial games and their elements. Combinatorial games include those that are discrete and deterministic with no hidden information, such as chess. Chapter 2 focuses on the elements of such games that can be...

Keywords

Genetic Programming General Game Game Rule Winning Condition Fourth Chapter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.University of Lille Nord de FranceLilleFrance
  2. 2.ULCO, LISICCalaisFrance

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