Game AI Pro

Content: Front Cover
 Contents
 Preface
 Web Materials
 Acknowledgments
 The Editors
 The Contributors
 Chapter 1: What Is Game AI?
 Chapter 2: Informing Game AI through the Study of Neurology
 Chapter 3: Advanced Randomness Techniques for Game AI : Gaussian Randomness, Filtered Randomness, and Perlin Noise
 Chapter 4: Behavior Selection Algorithms : An Overview
 Chapter 5: Structural Architecture-Common Tricks of the Trade
 Chapter 6: The Behavior Tree Starter Kit
 Chapter 7: Real-World Behavior Trees in Script
 Chapter 8: Simulating Behavior Trees : A Behavior Tree/Planner Hybrid Approach Chapter 9: An Introduction to Utility TheoryChapter 10: Building Utility Decisions into Your Existing Behavior Tree
 Chapter 11: Reactivity and Deliberation in Decision-Making Systems
 Chapter 12: Exploring HTN Planners through Example
 Chapter 13: Hierarchical Plan-Space Planning for Multi-unit Combat Maneuvers
 Chapter 14: Phenomenal AI Level-of-Detail Control with the LOD Trader
 Chapter 15: Runtime Compiled C++ for Rapid AI Development
 Chapter 16: Plumbing the Forbidden Depths : Scripting and AI
 Chapter 17: Pathfinding Architecture Optimizations Chapter 18: Choosing a Search Space RepresentationChapter 19: Creating High-Order Navigation Meshes through Iterative Wavefront Edge Expansions
 Chapter 20: Precomputed Pathfinding for Large and Detailed Worlds on MMO Servers
 Chapter 21: Techniques for Formation Movement Using Steering Circles
 Chapter 22: Collision Avoidance for Preplanned Locomotion
 Chapter 23: Crowd Pathfinding and Steering Using Flow Field Tiles
 Chapter 24: Efficient Crowd Simulation for Mobile Games
 Chapter 25: Animation-Driven Locomotion with Locomotion Planning Chapter 26: Tactical Position Selection : An Architecture and Query LanguageChapter 27: Tactical Pathfinding on a NavMesh
 Chapter 28: Beyond the Kung-Fu Circle : A Flexible System for Managing NPC Attacks
 Chapter 29: Hierarchical AI for Multiplayer Bots in Killzone 3
 Chapter 30: Using Neural Networks to Control Agent Threat Response
 Chapter 31: Crytek's Target Tracks Perception System
 Chapter 32: How to Catch a Ninja : NPC Awareness in a 2D Stealth Platformer
 Chapter 33: Asking the Environment Smart Questions
 Chapter 34: A Simple and Robust Knowledge Representation System Chapter 35: A Simple and Practical Social Dynamics SystemChapter 36: Breathing Life into Your Background Characters
 Chapter 37: Alibi Generation : Fooling All the Players All the Time
 Chapter 38: An Architecture Overview for AI in Racing Games
 Chapter 39: Representing and Driving a Race Track for AI Controlled Vehicles
 Chapter 40: Racing Vehicle Control Systems using PID Controllers
 Chapter 41: The Heat Vision System for Racing AI : A Novel Way to Determine Optimal Track Positioning
 Chapter 42: A Rubber-Banding System for Gameplay and Race Management