Programming Game AI by Example

Jones & Bartlett Learning

Programming Game AI by Example provides a comprehensive and practical introduction to the “bread and butter” AI techniques used by the game development industry, leading the reader through the process of designing, programming, and implementing intelligent agents for action games using the C++ programming language. Techniques covered include state- and goal-based behavior, inter-agent communication, individual and group steering behaviors, team AI, graph theory, search, path planning and optimization, triggers, scripting, scripted finite state machines, perceptual modeling, goal evaluation, goal arbitration, and fuzzy logic.

Chapter 1 A Math and Physics Primer
Chapter 2 State Driven Agent Design
Chapter 3 How to Create Autonomously Moving Game Agents
Chapter 4 Sports Simulation - Simple Soccer
Chapter 5 The Secret Life of Graphs
Chapter 6 To Script, or Not to Script, That Is the Question
Chapter 7 Raven: An Overview
Chapter 8 Practical Path Planning
Chapter 9 Goal Driven Agent Behavior
Chapter 10 Fuzzy Logic
Appendix A C++ Templates
Appendix B UML Class Diagrams
Appendix C Setting Up Your Development Environment

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