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.
