Paper Info
Title
Evolutionary Search In The Space Of Rules For Creation Of New Two-Player Board Games
Abstract
Games have always been a popular test bed for artificial intelligence techniques. Game developers are always in constant search for techniques that can automatically create computer games minimizing the developer's task. In this work we present an evolutionary strategy based solution towards the automatic generation of two player board games. To guide the evolutionary process towards games, which are entertaining, we propose a set of metrics. These metrics are based upon different theories of entertainment in computer games. This work also compares the entertainment value of the evolved games with the existing popular board based games. Further to verify the entertainment value of the evolved games with the entertainment value of the human user a human user survey is conducted. In addition to the user survey we check the learnability of the evolved games using an artificial neural network based controller. The proposed metrics and the evolutionary process can be employed for generating new and entertaining board games, provided an initial search space is given to the evolutionary algorithm.
Year
DOI
Venue
2014
10.1142/S0218213013500280
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS
Keywords
DocType
Volume
Evolutionary algorithm, board based games, measuring entertainment, game content generation
Journal
23
Issue
ISSN
Citations 
2
0218-2130
1
PageRank 
References 
Authors
0.36
16
3
Name
Order
Citations
PageRank
Zahid Halim112817.98
Abdul Rauf Baig212615.82
Kashif Zafar3124.25