| AI Techniques for Game Programming tackles 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. |
