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

"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...

Table of Contents:

• 1. Contemporary video game AI
• 2. An introduction to artificial neural networks
• 3. Supervised learning with artificial neural networks
• 4. Case study: supervised neural networks in digital games
• 5. Unsupervised learning in artificial neural networks
• 6. Faster learning in neural networks
• 7. Genetic algorithms
• 8. Beyond the GA: extensions and alternatives
• 9. Evolving solutions for multi-objective problems and hierarchical AI
• 10. Artificial immune systems
• 11. Ant colony optimisation
• 12. Reinforcement learning
• 13. Adaptivity within games
• 14. Turing̈s test and believable AI
• About the contributors
• Index.