© 2011

Artificial Intelligence for Computer Games

  • Pedro Antonio González-Calero
  • Marco Antonio Gómez-Martín
  • Translates the last decades of research into practical ideas to enhance the computer game experience;

  • Presents approaches for evolving interaction beyond the pre-scripted narratives normally encountered;

  • Integrates research into reinforced learning, case-based reasoning and genetic algorithms into game development


Table of contents

  1. Front Matter
    Pages i-xii
  2. Vadim Bulitko, Yngvi Björnsson, Nathan R. Sturtevant, Ramon Lawrence
    Pages 1-30
  3. G. Michael Youngblood, Frederick W. P. Heckel, D. Hunter Hale, Priyesh N. Dixit
    Pages 31-53
  4. Gonzalo Flórez-Puga, David Llansó, Marco Antonio Gómez-Martín, Pedro P. Gómez-Martín, Belén Díaz-Agudo, Pedro Antonio González-Calero
    Pages 55-81
  5. Chad Hogg, Stephen Lee-Urban, Héctor Muñoz-Avila, Bryan Auslander, Megan Smith
    Pages 83-101
  6. Mark Riedl, David Thue, Vadim Bulitko
    Pages 125-150
  7. Arnav Jhala, R. Michael Young
    Pages 151-170
  8. Magy Seif El-Nasr, Joseph Zupko, Chinmay Rao
    Pages 171-196
  9. Back Matter
    Pages 197-200

About this book


Techniques used for Artificial Intelligence (AI) in commercial video games are still far from state-of-the art in Academia, but with graphics in video games coming close to photo realistic quality, and multi-processor architectures getting common in console and PC game platforms, sophisticated AI is getting into the focus of the video game industry as the next big thing for enhancing the player experience. "Artificial Intelligence for Games" collects some of the most relevant results from Academia in the area of Artificial Intelligence for games. The selection of contributions has been biased towards rigorous and theoretically grounded work that is also supported with developed prototypes, which should pave the way for the integration of academic AI techniques into state-of-the-art electronic entertainment games. The chapters in the book cover different areas relevant to AI in commercial games:

  • Real-time heuristic search algorithms that alleviate the scalability problem of A* techniques
  • Authoring tools that facilitate the construction by game designers (typically non-programmers) of behavior controlling software
  • Algorithms for automatically or semi-automatically learning complex behavior from recorded traces of human players
  • Techniques that try to deliver the best possible experience by dynamically adapting the game to the player interaction

"Artificial Intelligence for Games " is a must-read for researchers and practicing engineers in the game industry. Key results from applied research on AI within the last 10 years have been collected here to provide a reference work for both Academia and Industry that will help to close the gap between both worlds.


Adaptive game artificial intelligence Affective interactive narrative Dynamic behavior trees Game artificial intelligence Game console processors Interactive drama Interactive environments Virtual data mining Virtual humans

Editors and affiliations

  • Pedro Antonio González-Calero
    • 1
  • Marco Antonio Gómez-Martín
    • 2
  1. 1., Dpto. de IngenieríaUniversidad Complutense de MadridMadridSpain
  2. 2., Dpto. de IngenieríaUniversidad Complutense de MadridMadridSpain

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