Programming Game AI by Example
ISBN-13:
9781556220784
ISBN-10:
1556220782
Edition:
1
Author:
Mat Buckland
Publication date:
2004
Publisher:
Jones & Bartlett Learning
Format:
Paperback
495 pages
Category:
AI & Machine Learning
,
Game Design
,
Games & Strategy Guides
,
Graphics & Design
,
Game Programming
,
Programming
,
Graphics & Multimedia
,
Software Design, Testing & Engineering
,
Microsoft Programming
,
Software
,
Web Design
,
Web Development & Design
,
Internet & Social Media
,
Computer Science
FREE US shipping
Book details
ISBN-13:
9781556220784
ISBN-10:
1556220782
Edition:
1
Author:
Mat Buckland
Publication date:
2004
Publisher:
Jones & Bartlett Learning
Format:
Paperback
495 pages
Category:
AI & Machine Learning
,
Game Design
,
Games & Strategy Guides
,
Graphics & Design
,
Game Programming
,
Programming
,
Graphics & Multimedia
,
Software Design, Testing & Engineering
,
Microsoft Programming
,
Software
,
Web Design
,
Web Development & Design
,
Internet & Social Media
,
Computer Science
Summary
Programming Game AI by Example (ISBN-13: 9781556220784 and ISBN-10: 1556220782), written by authors
Mat Buckland, was published by Jones & Bartlett Learning in 2004.
With an overall rating of 4.1 stars, it's a notable title among other
AI & Machine Learning
(Game Design, Games & Strategy Guides, Graphics & Design, Game Programming, Programming, Graphics & Multimedia, Software Design, Testing & Engineering, Microsoft Programming, Software, Web Design, Web Development & Design, Internet & Social Media, Computer Science) books. You can easily purchase or rent Programming Game AI by Example (Paperback, Used) from BooksRun,
along with many other new and used
AI & Machine Learning
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $1.96.
Description
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.
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