LIÉBANA • ET AL
GENERAL VIDEO GAME ARTIFICIAL INTELLIGENCE
MORGAN & CLAYPOOL
Series Editor: Daniel Ashlock, University of Guelph
General Video Game Articial Intelligence
Diego Pérez Liébana, Queen Mary University of London
Simon M. Lucas, Queen Mary University of London
Raluca D. Gaina, Queen Mary University of London
Julian Togelius, New York University
Ahmed Khalifa, New York University
Jialin Liu, Southern University of Science and Technology
Research on general video game playing aims at designing agents or content generators that can
perform well in multiple video games, possibly without knowing the game in advance and with little
to no specic domain knowledge. e general video game AI framework and competition propose a
challenge in which researchers can test their favorite AI methods with a potentially innite number
of games created using the Video Game Description Language. e open-source framework has
been used since 2014 for running a challenge. Competitors around the globe submit their best
approaches that aim to generalize well across games. Additionally, the framework has been used in AI
modules by many higher-education institutions as assignments, or as proposed projects for nal year
(undergraduate and Master’s) students and Ph.D. candidates.
e present book, written by the developers and organizers of the framework, presents the most
interesting highlights of the research performed by the authors during these years in this domain. It
showcases work on methods to play the games, generators of content, and video game optimization. It
also outlines potential further work in an area that oers multiple research directions for the future.
ABOUT SYNTHESIS
is volume is a printed version of a work that appears in the Synthesis
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General Video
Game Articial
Intelligence
Diego Pérez Liébana
Simon M. Lucas
Raluca D. Gaina
Julian Togelius
Ahmed Khalifa
Jialin Liu
Synthesis Lectures on
Games and Computational Intelligence
Series Editor: Daniel Ashlock, University of Guelph
Synthesis Lectures on
Games and Computational Intelligence
Series ISSN: 2573-6485
General Video Game
Artificial Intelligence
Synthesis Lectures on Games
and Computational
Intelligence
Daniel Ashlock, University of Guelph
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