Biologically inspired artificial intelligence for computer games

• Corporate Author: IGI Global.
• Other Authors: Charles, Darryl.
• Format: Electronic
• Language: English
• Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2008.
• Subjects: Artificial intelligence > Computer games.; Artificial intelligence > Biological applications.; Research > Computer games.; Anti-hebbian learning; Artificial biochemistry; Artificial evolution; Artificial immune systems; Artificial intelligence; Artificial neural networks; Backpropagation algorithm; Biological neural networks; Finite-state-machines; Game AI; Genetic algorithms; Hebbian learning; Hypermutations; Minimax; Neural network classification; Non-linear neurons; Pong 104; The Delta Rule; Video game
• Online Access: View fulltext via EzAccess
• Physical Description: electronic texts (xiv, 262 p. : ill.) : digital files.; Also available in print.
• Format: Mode of access: World Wide Web.
• Bibliography: Includes bibliographical references and index.
• ISBN: 9781591406488 (ebook); 159140648X (ebook)
• Access: Restricted to subscribers or individual electronic text purchasers.

"This book examines modern artificial intelligence to display how it may be applied to computer games. It spans the divide that exists between the academic research community working with advanced artificial intelligence and the games programming community which must create and release new and interesting games, creating an invaluable collection supporting both technological research and the gaming industry"--Provided by publisher.