Biologically Inspired Artificial Intelligence for Computer Games

Darryl Charles, C. Fyfe, D. Livingstone, S. McGlinchey

Research output: Book/ReportBook

Abstract

Biologically Inspired Artificial Intelligence for Computer Games reviews several strands of modern artificial intelligence, including supervised and unsupervised artificial neural networks; evolutionary algorithms; artificial immune systems, swarms, and shows—using case studies for each to display how they may be applied to computer games. This book spans the divide which currently exists between the academic research community working with advanced artificial intelligence techniques and the games programming community which must create and release new, robust, and interesting games on strict deadlines, thereby creating an invaluable collection supporting both technological research and the gaming industry.
LanguageEnglish
Number of pages278
Publication statusPublished - 2008

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Computer games
Artificial intelligence
Immune system
Evolutionary algorithms
Neural networks
Industry

Cite this

Charles, D., Fyfe, C., Livingstone, D., & McGlinchey, S. (2008). Biologically Inspired Artificial Intelligence for Computer Games.
Charles, Darryl ; Fyfe, C. ; Livingstone, D. ; McGlinchey, S. / Biologically Inspired Artificial Intelligence for Computer Games. 2008. 278 p.
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Biologically Inspired Artificial Intelligence for Computer Games. / Charles, Darryl; Fyfe, C.; Livingstone, D.; McGlinchey, S.

2008. 278 p.

Research output: Book/ReportBook

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Charles D, Fyfe C, Livingstone D, McGlinchey S. Biologically Inspired Artificial Intelligence for Computer Games. 2008. 278 p.