AI Game Engine Programming (Game Programming Series)

Schwab, Brian

ISBN 10: 1584503440 / ISBN 13: 9781584503446

Published by Cengage Learning, 2004

About this Item

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Bibliographic Details

• Title: AI Game Engine Programming (Game Programming Series)
• Publisher: Cengage Learning
• Publication Date: 2004
• Language: English
• ISBN 10: 1584503440
• ISBN 13: 9781584503446
• Binding: paperback
• Condition: Good

About this title

Synopsis

AI Game Engine Programming provides game developers with the tools and wisdom necessary to create modern game AI engines. It takes programmers from theory to actual game development, with usable code frameworks designed to go beyond merely detailing how a technique might be used. In addition, it surveys the capabilities of the different techniques used. In addition, it surveys the capabilities of the different techniques used in some current AI engines, and covers common pitfalls, design considerations, and optimizations. If you're having difficulty determining which techniques to use, or looking for working code best suited to a particular game, you'll find the answers here. You'll also find a clean, usable interface for a variety of game AI techniques with an emphasis on primary decision-making paradigms. The book provides insightful coverage of a variety of subjects important to AI engine development, and ties them together masterfully to form an indispensable reference. Part I provides an overall look at game AI, covers the basic terminology used in the book, reviews underlying concepts of game AI, and dissects the parts of a game AI engine. Part II covers specific game genres (RPG, TRS, FTPS, Shooter, Sports, Racing, Strategy, Adventure, Fighting, Platform, and miscellaneous) and explains how they use different AU paradigms. It also covers the move common solutions to the problems posed by each genre. Some of the problems include, dealing with direct AI and human interactions, using scripting languages appropriately, and general intelligence/entertainment balancing. Part III provides the actual code implementations for the basic AI techniques such as finite state machines, fuzzy state machines, message board systems, scripted systems, and location-based information systems. And, Part IV covers the move advanced techniques, including genetic algorithms, neural networks, artificial life, planning algorithms, and decision trees. The book concludes wit

About the Author

An industry professional for over 17 years, Brian Schwab has worked on a huge variety of games at a number of different companies, always with a focus on gameplay, AI, and design. The author of AI Game Engine Programming, Brian has also given numerous talks at AIIDE (for which he also serves on the board) and GDC.