AI Techniques for Game Programming (Premier Press Game Development)
"AI Techniques for Game Programming" takes the difficult topics of genetic algorithms and neural networks and explains them in plain English. Get and download textbook AI Techniques for Game Programming (Premier Press Game Development) for free
Categories: Artificial intelligence->Game programming. Contributors: Mat Buckland - Author. Format: Paperback
Gone are the tortuous mathematic equations and abstract examples to be found in other books. Each chapter takes readers through the theory a step at a time, explaining clearly how they can incorporate each technique into their own games. After a whirlwind tour of Windows programming, readers will learn how to use genetic algorithms for optimization, path-finding, and evolving control sequences for their game agents. Coverage of neural network basics quickly advances to evolving neural motion controllers for their game agents and applying neural networks to obstacle avoidance and map exploration. Backpropagation AI Techniques for Game Programming new edition
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AI Techniques for Game Programming: Mat Buckland
Categories: Artificial intelligence->Game programming. Contributors: Mat Buckland - Author. Format: Paperback
Categories: Artificial intelligence->Game programming. Contributors: Mat Buckland - Author. Format: Paperback
AI Techniques for Game Programming (Game Development) Product Category : Books ISBN : 193184108X Title : AI Techniques for Game Programming (Game Development) EAN : 9781931841085 Authors : Collins Binding : Paperback Publisher : Prima Tech Publication Dat
AI Techniques for Game Programming Textbook
Gone are the tortuous mathematic equations and abstract examples to be found in other books. Each chapter takes readers through the theory a step at a time, explaining clearly how they can incorporate each technique into their own games. After a whirlwind tour of Windows programming, readers will learn how to use genetic algorithms for optimization, path-finding, and evolving control sequences for their game agents. Coverage of neural network basics quickly advances to evolving neural motion controllers for their game agents and applying neural networks to obstacle avoidance and map exploration
one are the tortuous mathematic equations and abstract examples to be found in other books. Each chapter takes readers through the theory a step at a time, explaining clearly how they can incorporate each technique into their own games. After a whirlwind tour of Windows programming, readers will learn how to use genetic algorithms for optimization, path-finding, and evolving control sequences for their game agents. Coverage of neural network basics quickly advances to evolving neural motion controllers for their game agents and applying neural networks to obstacle avoidance and map exploration. Backpropagation
