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A1 Techniques For Game Programming. Cd-Rom Included (The Premier Press Game Development Series) - Tapa blanda

Buckland, Mat

 
9781931841085: A1 Techniques For Game Programming. Cd-Rom Included (The Premier Press Game Development Series)

Sinopsis

AI Techniques for Game Programming gives you the keys to incorporating artificial intelligence into your games. Three sections walk you through basic Windows programming, the theory and practice of genetic algorithms, and finally neural networks where you can learn about the biological makeup of real brains and behavior evolution. With the techniques in this book, you'll master complex AI concepts by programming practical, fun projects!

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Críticas

"Game programming is without a doubt the most intellectually challenging field of computer science in the world. However, we would be fooling ourselves if we said that we are 'serious' people! Writing (and reading) a game programming book, should be an exciting adventure for both the author and the reader." Andre LaMothe, Series Editor

Reseña del editor

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.

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