Game AI Pro: Collected Wisdom of Game AI Professionals

Game AI has to do more than choose a technically sound move: it has to support responsive play, believable characters, and the limits of a working game. Game AI Pro: Collected Wisdom of Game AI Professionals, edited by Steven Rabin, examines that practical balance through a wide-ranging collection of approaches to designing and implementing AI for games.

The chapters bring together techniques for decision-making, movement, tactical behavior, perception, and more. The result is a useful reference for developers who want to compare different ways of solving the problems that emerge when intelligent behavior meets real-time gameplay.

From behavior systems to pathfinding

The collection begins with general ideas about game AI, then turns to architecture: behavior selection, behavior trees, utility theory, planning, scripting, and rapid AI development. Later chapters explore search-space choices, navigation meshes, precomputed paths, steering, crowd movement, and locomotion planning. Seeing these subjects side by side helps readers understand how individual algorithms fit into larger systems.

Make agents act—and seem—aware

Strategy and tactics, NPC attacks, multiplayer bots, threat response, perception, and knowledge representation all receive attention. The book also considers social dynamics, background characters, and ways to manage what players believe an agent knows. These topics are especially relevant when the goal is not simply to move an agent through a world, but to make its actions read clearly and consistently during play.

Practical breadth for game AI work

Racing-game AI adds another perspective, with chapters on system architecture and representing and driving a race track. Across its subjects, the collection offers developers multiple approaches to problems involving decisions, navigation, reactions, and performance—without reducing game AI to a single design pattern.

Who may find it useful

This volume is aimed at game programmers and developers, and may also interest students, educators, and researchers studying AI in interactive systems. It is a strong fit for readers who want a broad, implementation-oriented reference to game AI techniques, from agent architecture to movement and awareness.