AI Game Programming Wisdom 2 (Game Development Series) (Hardcover)

~ Steve Rabin (Author)

Editorial Reviews

Amazon.com Review

A game has to be able to think, or at least imitate thought sufficiently to render a convincing representation of some character or phenomenon. This sort of logic requires planning on the part of the programmer: A swordfighter not only has to find his enemy and engage him in combat, but know how to react if the opponent runs away, dies, or summons his buddies. The better the game designer is at endowing characters with behaviors, capabilities, and reactions, the more realistic and exciting his or her games will be. A soldier that can shoot at targets in the distance is okay, but a soldier that can also lay an ambush, shoot around corners, and fight with a knife is a lot more exciting. AI Game Programming Wisdom 2 comprises a series of article from accomplished game programmers about designing games that feature complex and lifelike behavior.

The contributors--there are dozens--share their professional experience in the field of simulating life in software. Some of their examples are crystal-clear--Nick Porcino's block diagrams that explain the behavior of artificial insects are one example. What's more, the compilation is remarkably comprehensive, addressing such issues as how collectives (such as platoons of soldiers) exhibit behavior that takes into account the perceptions of their members (as well as the lack of information--the fog of war). This book is carefully designed to help game architects plan more exciting and realistic environments for their players. --David Wall

Topics covered: How to design a computer game in which computer-managed characters need to behave intelligently. There's coverage of how to encode a character's motivations, how to make a character relate to a group, how to make characters move through and perceive space, and how to make a character learn over time.

Product Description

Cutting-Edge Game AI from Industry Experts!

AI Game Programming Wisdom 2, the second volume in this cutting-edge series, is packed with all new tricks, techniques, algorithms, architectures, and philosophies—all written by industry experts! The wealth of knowledge and expertise in this volume is sure to surpass your expectations. As with the first volume, this book is designed to provide practical advice for building state-of-the-art game AI for commercial games; however, it also strives to help you look forward to leading-edge techniques that will be critical in future explorations.

AI Game Programming Wisdom 2 provides advances, discoveries, and triumphs that will influence and drive game AI for the next decade. The breadth of experience and diverse backgrounds of the authors make this a truly global, cross-sectional resource for game AI. The book is divided into twelve comprehensive sections, including an all new speech recognition and dialogue section. There is also coverage of a wider variety of game genres and a cumulative index is included for easy cross referencing between volumes.

This new volume alone is an indispensable tool, but together with volume 1, these books form a remarkable collection that no game AI programmer should be without! SECTIONS:
* General Wisdom
* Pathfinding and Movement
* Group Movement, Tactics, and Planning
* AI Animation Control
* State Machines
* Architecture
* FPS, RTS, and Strategy AI
* Racing and Sports AI
* Scripting
* Learning
* Genetic Algorithms and Neural Networks
* Speech Recognition and Dialogue

On the CD-ROM (WINDOWS):
Includes source code and demos to augment the articles, as well as tutorials, Web resources, complementary articles, and color images. SYSTEM REQUIREMENTS: Intel Pentium-series, AMD Athlon or newer processor recom-mended. Windows 98 or higher required, 3D graphics card recommended for optimal performance, and DirectX 9 or higher. Code and demos were tested on a Pentium 4 2.5 GHz (1GB) machine with a GeForce 3 graphics card, WinXP with DirectX 9, and Microsoft Visual C++ 6.0.

CONTRIBUTORS
Greg Alt
Mat Buckland
Phil Carlisle
Alex J. Champandard
Emmanuel Chiva
Alex Darby
Julien Devade
Mike Dickheiser
Kevin Dill
Jean-Yves Donnart
Penny Drennan
Eric Dybsand
Euan Forrester
James Freeman-Hargis
Dan Fu
Benjamin Geisler
Mario Grimani
Sebastian Grinke
Harri Hakonen
Chris Hargrove
Alexander Herz
Ryan Houlette
Geraint Johnson
Soren Johnson
Timo Kaukoranta
Tom Kent
Sandeep Kharkar
Kristin King
Neil Kirby
Brett Laming
François Dominic Laramée
Lars Lidén
John Manslow
Stéphane Maruéjouls
James Matthews
Alex McLean
Syrus Mesdaghi
Jeff Orkin
Nick Porcino
Steve Rabin
Michael Ramsey
Christopher Reed
John Reynolds
Gilberto Rosado
Shawn Shoemaker
Jouni Smed
P.J. Snavely
Alex Sramek
Penny Sweetser
Dale Thomas
Paul Tozour
William van der Sterren
Neil Wallace
Terry Wellmann
Steven Woodcock
Eric Yiskis

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Product Details

• Hardcover: 732 pages
• Publisher: Charles River Media; 1 edition (December 9, 2003)
• Language: English
• ISBN-10: 1584502894
• ISBN-13: 978-1584502890
• Product Dimensions: 9.3 x 7.6 x 1.7 inches
• Shipping Weight: 3.3 pounds (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
• Amazon.com Sales Rank: #552,569 in Books (See Bestsellers in Books)

• This item is part of The Charles River Media Game Development Series.

Customer Reviews

Most Helpful Customer Reviews

26 of 26 people found the following review helpful:

4.0 out of 5 stars Another useful addition to the game developers shelf, January 23, 2004

By	Galen K. Valentine "gallaine" (Fort Worth, TX USA) - See all my reviews (REAL NAME)

All of the books in the Game Programming Gems and AI Wisdom series have been quite useful to me as a game programmer. AI Game Programming Wisdom 2 is a continuation of the Charles River Media series devoted to gaming issues. As with the rest of the series the articles are of varying lengths and detail. Many of the articles simply reference other articles in the series rather than basic or classic works in AI. So, this series is less useful as a bibliographic source. The topics covered in the articles are usually short and written at a high-level, but nonetheless very interesting and worth further research. And therein lies some of the frustration. It is often difficult to find more information about a particular subject since most of the references simply refer to articles in other books in the series, which are themselves are rather vague.

AI Game Programming Wisdom 2 is structured very much the same as the first book in the series. The articles are broken into similar sections, with the addition of a new section on finite-state-machines and splitting the section on learning into two. Having already covered the A* algorithm, its various optimizations, and navigation meshes in the previous books those topics are virtually absent here (though they may be buried as a secondary topic in some of the path-finding articles). I thought that the series had exhausted discussion of finite-state machines, but the editors managed to include a couple of interesting articles. The demand for more realistic AI behavior in character-based games in growing. And while a full simulation of emotions and human characteristics is unteneable, at the moment, there are some interesting ideas in the Learning section of the book e.g. "Motivational Graphs: A New Architecture for Complex Behavior Simulation.".

I can't say that this book is indispensible from an implementation perspective. Most of the articles are simply too vague - though there are notable exceptions throughout the entire series of books. What I found most useful in these articles was that they stimulated thought and helped to generate discussion among the programmers and designers at work.

3 of 73 people found the following review helpful:

5.0 out of 5 stars "Ok, let us not try to get bogged down into semantics?", August 9, 2004

By	MGMcd (Columbia, MD USA) - See all my reviews

Honestly, I just had to submit a review to comment on this line from a reviewer of this book. "Ok, let us not try to get bogged down into semantics." What the heck does this mean? I think he/she meant, "Okay, let us not get bogged down in semantics."
What else is wrong with this reviewer's reading/writing skills that contributed to their negative review of this book? If you can't write clearly...