Programming Game AI by Example
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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Easily one of the best books about AI programming I have ever read! Everyone who wants to take a stab at writing good game AI should read it. It covers pretty much anything one needs to know.
I have seen that some people criticize it for not include artificial neural networks, but he wrote an earlier books that covers that, and this one is more focused towards game AI. And it does it very well!
Sports Simulation Simple Soccer
A More Formal Description
Breadth First Search
CostBased Graph Searches
GoalDriven Agent Behavior
Coding a Fuzzy Logic Module
How Raven Uses the Fuzzy Logic Classes
Appendix A C++ Templates