Programming Game AI by Example
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Average customer review:Product Description
With the recent success of such games as Microsoft's Halo, artificial intelligence has taken a bigger role in the gaming industry and a few books have emerged with an academic, theoretical approach to the topic. AI Game Programming by Example describes in detail many of the AI techniques used in modern computer games and, more importantly, explicitly shows the reader how to implement these practical AI techniques within the framework of several popular game genres. These features, combined with the exercises throughout the book, provide game developers with a practical foundation to game AI.
Programming Game AI by Example provides a comprehensive and practical introduction to the "bread and butter" AI techniques used by the game development industry, leading the reader through the process of designing, programming, and implementing intelligent agents for action games using the C++ programming language.
Techniques covered include state- and goal-based behavior, inter-agent communication, individual and group steering behaviors, team AI, graph theory, search, path planning and optimization, triggers, scripting, scripted finite state machines, perceptual modeling, goal evaluation, goal arbitration, and fuzzy logic.
Product Details
- Amazon Sales Rank: #71823 in Books
- Published on: 2004-10-01
- Original language: English
- Number of items: 1
- Binding: Paperback
- 500 pages
Editorial Reviews
From the Inside Flap
"…stands out from the pack by providing industrial-strength solutions to difficult problems, like steering and goal-oriented behavior. Mat guides the reader toward building a foundation robust enough for real games. This book is a must-have for anyone new to the field, and has tips for the seasoned professional as well. I wish I [had] read it eight years ago!"
Jeff Orkin
AI architect, Monolith Productions, No One Lives Forever 2 and F.E.A.R.
"…a nice combination of a lot of really useful information, put together in a way that doesn’t make my brain leak."
Gareth Lewis
Project leader, Lionhead Studios, Black & White 2
"Each chapter of Mat’s book gently introduces the reader to a fundamental game AI technology before expanding the new idea into a fully formed solution replete with extensive code and clearly worded examples. The tone of the book is uncomplicated and accessible to the reader, allowing a novice programmer the opportunity to get to grips with the basics of game AI programming by implementing their own systems direct from theory or expanding upon code examples offered to gain understanding in a sandbox environment. Once individual technologies are fully understood, the book goes on to combine these ideas into several complete game environments allowing the reader to understand the relationships between the interacting systems of an overarching game architecture."
Mike Ducker
AI programmer, Lionhead Studios, Fable
"Using easy-to-follow and well-described examples, this book shows you how to use most of the techniques professional AI programmers use. A great introduction for the beginner and an excellent reference for the more experienced!"
Eric Martel
AI programmer, Ubisoft, Far Cry (XBox)
"Programming Game AI by Example is an excellent book for the game programming neophyte, the intermediate programmer, and even the expert - it doesn’t hurt to go over familiar ground, does it? The book concisely covers all of the important areas, including basic maths and physics through to graph theory and scripting with Lua, to arm any programmer with the tools needed to create some very sophisticated agent behaviours. Unusually for books of the type, Programming Game AI by Example is solid in its software engineering too, with the example code demonstrating game uses of familiar design patterns. I’d have no qualms about recommending Programming Game AI by Example to any programmer. It’s an excellent read and an excellent springboard for ideas."
Chris Keegan
Technical director, Climax Studios (Solent)
About the Author
Mat Buckland is a freelance programmer and writer. He became interested in AI when he coded Waddington’s Monopoly for the ZX Spectrum way back in the ’80s, and over the years his passion for making computers "think" has never faded. He is the author of the book AI Techniques for Game Programming and the founder of ai-junkie.com, a popular web site that specializes in AI tutorials. He is also a member of the AI Interface Standards Committee and co-hosts the AI round table at the European Game Developers Conference.
Customer Reviews
A great book, with some significant gaps.
This is a great book for hobbiest game developers, and professionals new to AI. It gives a good overview of some of the most interested areas of game AI, and practical solutions to make progress.
It is the first book I've seen that makes a good effort to present solutions that would actually be used in real games. Which surprised me, because Mat's first book on game AI was just like every other title I've read: a blend of hype and unusable technology. With this book he has come on by miles.
I'm AI programmer in the industry, and this is the first book I've seen that I could hand-on-heart recommend for real technology (John Funge's book is also good, but as an overview, not for practical implementation).
There are some bits (such as the scripting chapter) that are squarely aimed outside the industry, but provide superb material for a hobbiest. The majority of the book is filled with technology that covers the very basics of game AI for novice AI developers. And there are some bits (like the goal oriented behaviour chapter) that could actually benefit people working on commercial games.
There are bits I disagreed with, inevitably.
My biggest criticism of the book is its narrow scope. It covers a handful of AI techniques well, but doesn't talk about the tens of other techniques that game AI programmers need to use to get the game out of the door. It also misses lots of techniques used in particular game genres (it is focussed primarily on shooters, although there is a chapter with some small inspiration for sports games). Some of this is because of size, but it means that the book can only act as a taster and not a real reference book.
Mat's writing is chirpy and readable, and so far the code is reasonably correct and useful. I would recommend it if you are a hobbiest game developer, but its probably far beneath you if you already work in AI in the industry.
A must have.
The book uses source code (C++) and UML diagrams to explain AI techniques that can be found in various games in a simple yet precise manner. Each chapter has a practical Visual C++ project, which can be used as a framework to expand on the ideas presented. I thoroughly recommend this book, not only for AI programmers, but programmers in general, as it re-inforces good software engineering practices in an industry that largely discards them.
Overall, an excellent book. This is how AI should be taught at University.
A good book, does the job
A good book for game AI to get you started, the text reads fine and is easy to follow. The code on the other hand is rather messy, and I agree with the other reviewer that pseudo code would have been a better option - you have to read through all the authors little coding habits to root out what you need.
Still, worth a read because the AI descriptions are very well put together.




