ENGLISH

Biologically Inspired Artificial Intelligence for Computer Games

By Colin Fyfe , Darryl Charles , Daniel Livingstone , Stephen Mcglinchey

Book information

Publisher
Igi Publishing
Year
2007
ISBN
978-1-59140-646-4, 978-1-59140-648-8
LCC
Q336 .B415 2008
Open Library ID
OL12373851M
Language
english
Format
PDF
Filesize
5 MB (4970963 bytes)
Edition
1
Pages
278\279
Topic
Computers
Library
Great Science Textbooks
Time added
2009-07-20 03:45:11

Description

Computer games are often played by a human player against an artificial intelligence software entity. In order to truly respond in a human-like manner, the artificia intelligence in games must be adaptive, or respond as a human player would as he/she learns to play a game. 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.

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