AI Programming Wisdom: Contents

The AI Programming Wisdom book features the following chapters: Section 1: General Wisdom The Evolution of Game AI - Paul Tozour The Illusion of Intelligence - Bob Scott Solving the Right Problem - Neil Kirby 12 Tips from the Trenches - Jeff Orkin Section 2: Useful Techniques and Specialized Systems Building an AI Diagnostic Toolset - Paul Tozour A General Purpose Trigger System - Jeff Orkin A Data-Driven Architecture for Animation Selection - Jeff Orkin Realistic Character Behavior with Prioritized, Categorized Animation - Jeff Orkin Designing a GUI Tool to Aid in the Development of Finite State Machines The Beauty of Response Curves - Bob Alexander Simple and Efficient Line-of-Sight for 3D Landscapes - Tom Vykruta An Open Source Fuzzy Logic Library - Michael Zarozinski Section 3: Pathfinding with A* Basic A* Pathfinding Made Simple - James Matthews Generic A* Pathfinding - Daniel Higgins Pathfinding Design Architecture - Daniel Higgins How to Achieve Lightning Fast A* - Daniel Higgins Practical Optimizations for Astar Path Generation - Timothy Cain Section 4: Pathfinding and Movement Simple, Cheap Pathfinding - Chris Charla, Mike Mika Preprocessed Solution for Open Terrain Environments - Smith Surasmith Building a Near-Optimal Navigation Mesh - Paul Tozour Realistic Turning between Waypoints - Marco Pinter Navigating Doors, Elevators, Ledges, and Other Obstacles - John Hancock Simple Swarms as an Alternative to Flocking - Tom Scutt Section 5: Tactical Issues and Intelligent Group Movement Strategic and Tactical Reasoning with Waypoints - Lars Lidén Recognizing Strategic Dispositions- Engaging the Enemy - Steven Woodcock Squad Tactics: Team AI and Emergent Maneuvers - William van der Sterren Squad Tactics: Planned Maneuvers - William van der Sterren Tactical Team AI Using a Command Hierarchy - John Reynolds Formations - Chad Dawson Section 6: General Purpose Architectures Architecting a Game AI - Bob Scott An Efficient AI Architecture using Prioritized Task Categories - Alex McLean An Architecture Based on Load Balancing - Bob Alexander A Simple Inference Engine for a Rule-Based Architecture - Mike Christian Implementing a State Machine Language - Steve Rabin Enhancing a State Machine Language through Messaging - Steve Rabin Section 7: Decision-Making Architectures Blackboard Architectures - Bruce Blumberg, Damian Isla Introduction to Bayesian Networks and Reasoning Under Uncertainty - Paul Tozour A Rule-Based Architecture using Dempster-Shafer Theory - François Dominic Laramée An Optimized Fuzzy Logic Architecture for Decision-Making - Thor Alexander A Flexible Goal-Based Planning Architecture - John O'Brien Section 8: FPS, RTS, and RPG AI First-Person Shooter AI Architecture - Paul Tozour Architecting an RTS AI - Bob Scott An Economic Approach to Goal-Directed Reasoning in an RTS - Vernon Harmon The Basics of Ranged Weapon Combat - Paul Tozour Level-Of-Detail AI for a Large Role-Playing Game - Mark Brockington A Dynamic Reputation System Based on Event Knowledge - Greg Alt, Kristin King Section 9: Racing and Sports AI Representing a Race Track for the AI - Gari Biasillo Racing AI Logic - Gari Biasillo Training an AI to Race - Gari Biasillo Competitive AI Racing under Open Street Conditions - Joseph C. Adzima Camera AI for Replays - Sandeep V. Kharkar Simulating Real Animal Behavior - Sandeep Kharkar Agent Cooperation in FSMs for Baseball - P.J. Snavely Intercepting a Ball - Noah Stein Section 10: Scripting Scripting: Overview and Code Generation - Lee Berger Scripting: The Interpreter Engine - Lee Berger Scripting: System Integration - Lee Berger Creating Scripting Languages for Non-Programmers - Falko Poiker Scripting for Undefined Circumstances - Jonty Barnes, Jason Hutchens The Perils of AI Scripting - Paul Tozour How Not To Implement a Basic Scripting Language - Mark Brockington, Mark Darra Section 11: Learning Learning and Adaptation in Games - John Manslow Varieties of Learning - Richard Evans GoCap: Game Observation Capture - Thor Alexander Pattern Recognition with Sequential Prediction - Fri Mommersteeg Using N-Gram Statistical Models to Predict Player Behavior Practical Natural Language Learning - Jonty Barnes, Jason Hutchens Testing Undefined Behavior as a Result of Learning - Jonty Barnes, Jason Hutchens Imitating Random Variations in Behavior using a Neural Network - John Manslow Genetic Algorithms: Evolving the Perfect Troll - François Dominic Laramée The Dark Art of Neural Networks - Alex J. Champandard