Game AI Pro : Collected Wisdom of Game AI Professionals

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