Artificial intelligence for games

Game AI can make or break how well a game sells, yet building it well is hard for developers. Ian Millington, a programmer with many years in the games industry, tackles this problem by showing how to raise the quality of AI in games. Examples drawn from more than a hundred published titles and ten detailed case studies anchor the explanations, and the book also presents several techniques that few developers currently use. Readers get a complete tour of the development process, from first design to finished implementation, with pathfinding, movement, and decision making covered along the way.

This second edition adds new material on AI-oriented gameplay, behaviour-driven AI, and casual puzzle games. Each chapter ends with exercises, which makes the book suitable for university courses on game AI. The companion website provides a library of C++ source code and demonstration programs, along with a full commercial library of AI algorithms and techniques.

The book suits programmers working on game AI, students taking game development courses, and instructors who need teaching material on the subject.