AI Techniques for Game Programming

Mat Buckland

448 pages, parution le 07/11/2002

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Résumé

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. You will learn about backpropagation and pattern recognition a
Features
The CD includes:

A demo of Colin McRae Rally 2
Adobe Acrobat Reader 5.5
All source code and executables from the book

Contents

I. Windows Programming
II. Genetic Algorithms
III. Neural Networks
IV. Appendixes

Caractéristiques techniques

	PAPIER
Éditeur(s)	Premier Press
Auteur(s)	Mat Buckland
Parution	07/11/2002
Nb. de pages	448
Format	18,5 x 23
Couverture	Broché
Poids	800g
Intérieur	Noir et Blanc
EAN13	9781931841085
ISBN13	978-1-931841-08-5