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  AI Techniques for Game Programming (Premier Press Game Development (Paperback)) (Mixed media product) By (author) Mat Buckland, By (author) Mark Collins

  

  $56.99 - Save $11.54 16% off - RRP $68.53 Free delivery worldwide (to United States and
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  Short Description for AI Techniques for Game Programming Takes the difficult topics of genetic algorithms and neural networks and explains them in plain English. This book explains clearly how they can incorporate each technique into their own games. It covers neural network basics quickly advances to evolving neural motion controllers for their game agents.
  Full description

  • Publisher: Premier Press
  • Published: 13 November 2002
  • Format: Mixed media product 480 pages
  • See: Full bibliographic data
  • Categories: Games Strategy Guides | Computer Programming / Software Development | Games Development & Programming | Software Engineering | Artificial Intelligence
  • ISBN 13: 9781931841085 ISBN 10: 193184108X
  • Sales rank: 316,947

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Full description for AI Techniques for Game Programming

• AI Techniques for Game Programming takes the difficult topics of Genetic Algorithms and Neural Networks, explaining them in plain English. Gone are the tortuous mathematic equations and abstract examples to be found in other books. Each chapter will take you through the theory a step at a time using fun, practical examples - providing you with all the knowledge you require to start incorporating these esoteric techniques into your own games and applications. After a whirlwind tour of Windows programming - for those readers who require a refresher - you will learn how to use genetic algorithms for optimization, path-finding and evolving control sequences for your game agents. After learning the basics of neural networks, AI Techniques for Game Programming will demonstrate how you can evolve neural motion controllers for your game agents, and how neural networks may be applied to obstacle avoidance and map exploration. You will learn about backpropagation and pattern recognition and discover how to train a network to recognize mouse gestures. Finally the book explains state-of-the-art techniques for creating neural networks with dynamic topologies.Each chapter is complimented by well commented source code and most provide fun exercises and problems for you to practice your newfound knowledge.