Artificial Intelligence for Games Companion CD ROM 1st Edition by Ian Millington ISBN 0124977820 9780124977822

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Product details:
ISBN 10: 0124977820
ISBN 13: 9780124977822
Author: Ian Millington

Creating robust artificial intelligence is one of the greatest challenges for game developers. The commercial success of a game is often dependent upon the quality of the AI, yet the engineering of AI is often begun late in the development process and is frequently misunderstood.

In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. A game developer since 1987, he was founder of Mindlathe Ltd., at the time the largest specialist AI company in gaming. Ian shows how to think about AI as an integral part of game play.

He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book’s CD-ROM contains a library of C++ source code and demonstration programs, and provides access to a website with a complete commercial source code library of AI algorithms and techniques.

Artificial Intelligence for Games Companion CD ROM 1st Edition Table of contents:

1. Introduction to the Companion CD-ROM

   • Purpose of the CD-ROM
   • How to Use the Companion Materials
   • Overview of Software and Demos Included

2. Game AI Algorithms and Implementations

   • Example Code for Pathfinding Algorithms
   • Implementing A* Search for Navigation
   • Steering Behaviors for Character Movement
   • Flocking Behavior Simulations
   • Finite State Machines (FSM) for NPC Behavior

3. Sample AI Game Systems

   • AI for Combat and Strategy Games
   • NPC Interaction and Dialogue Systems
   • Decision-Making for Game Agents (e.g., Behavior Trees, Utility AI)
   • Tactical AI for Real-Time Strategy Games
   • Goal-Oriented Action Planning (GOAP) Demos

4. Learning AI for Games

   • Introduction to Machine Learning for Game AI
   • Reinforcement Learning Examples in Game Environments
   • Training AI Agents for Games (Q-Learning, Neural Networks)
   • Genetic Algorithms and Evolving Game Strategies

5. AI Tools and Libraries for Game Development

   • Overview of AI Development Tools for Game Developers
   • Libraries for Pathfinding, Decision-Making, and Learning
   • Using Physics Engines for Simulating AI-Driven Behaviors
   • Integrating AI with Game Engines (Unity, Unreal, etc.)

6. AI Debugging and Visualization Tools

   • Tools for Visualizing AI Behavior in Games
   • Debugging AI Pathfinding and Movement
   • Visualization of NPC Decision Trees
   • Real-Time Debugging of AI Decision-Making Processes

7. Game AI Design Patterns

   • Common Design Patterns for Game AI
   • Managing AI Behavior with Data-Driven Approaches
   • Integrating AI with Game Design (Balancing Fun and Challenge)
   • Best Practices for AI System Design in Games

8. Case Studies and Game AI Projects

   • Case Study: AI for a Real-Time Strategy Game
   • Case Study: AI for an Adventure Game (Puzzle Solving, NPC Interactions)
   • Case Study: AI for a Racing Game (Pathfinding and Opponent AI)
   • Analysis of AI Systems in Commercial Games

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Bonus Features and Additional Resources

9. AI Simulations and Demos

   • Interactive Demos of AI Behaviors and Algorithms
   • AI-Driven NPCs in a 3D Game Environment
   • Pathfinding and Obstacle Avoidance Demonstrations
   • Demo of Evolutionary AI for Game Agents

10. Supporting Software and Files

• Source Code for Game AI Examples
• Sample Game Worlds for AI Testing and Development
• AI Debugging Tools and Editors
• Documentation for Understanding and Using the Code

11. Further Reading and Research Resources

• Research Papers on Advanced Game AI Techniques
• Online Resources and Communities for Game AI Developers
• Recommended Books and Journals on AI in Games

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