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.
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.
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.
Mat Buckland is the author of the best-selling AI Techniques for Game Programming (193184108X) from Course Technology. He has been developing and consulting in the AI game community for years and has published dozens of articles on AI principles. He runs the highly successful AI Junkies web site, and lives in London.
Techniques covered: 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 eva
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