Artificial Intelligence in Game Development

Author: Bu Jin
Publisher:
Publish Date: 2006-09-01
Features: Does your game have characters that cannot move freely? Do characters walk into obstacles? Are non-player characters unable to move in a team? Now you can master advanced artificial intelligence (AI) technology to solve these problems. Whether you are a programming beginner or an experienced game programmer who just wants to quickly learn AI, you will find this book to be an excellent introductory guide for understanding and applying AI to your games. This book is specifically designed to provide you with advanced and useful AI techniques in game development. If you have ever tried to use AI to extend the lifecycle of your game, make it more challenging, and most importantly, make it more fun, this book is for you. David M. Bourg (author of the best-selling Physics for Game Developers) and Glenn Seemann will introduce you to techniques such as finite state machines, fuzzy logic, and neural networks in a very intuitive and easy-to-understand language, with source code (written in C and C++) illustrating these techniques throughout the book. From basic game behaviors like chasing, dodging, pattern-based movement, and gathering to predicting player behavior, this book teaches you how to apply AI to give your game characters believable intelligence. These techniques include a mix of qualitative (traditional) and non-qualitative (more recent) AI technologies suitable for beginners in AI development. Other topics include:
- Using a single technique based on potential functions to handle chasing, dodging, gathering, and obstacle avoidance.
- Solving pathfinding problems using include waypoints and classic A algorithms.
- Expanding the functionality of the AI engine with AI scripting to allow designers and players to better design and play the game.
- Giving your game characters AI reasoning capabilities based on rules, including fuzzy logic and finite state machines.
- Using probabilistic analysis and advanced techniques like Bayesian reasoning to handle uncertainty.
Does your game have characters that cannot move freely? Do characters walk into obstacles? Are non-player characters unable to move in a team? Now you can master advanced artificial intelligence (AI) technology to solve these problems. Whether you are a programming beginner or an experienced game programmer who just wants to quickly learn AI, you will find this book to be an excellent introductory guide for understanding and applying AI to your games. This book is specifically designed to provide you with advanced and useful AI techniques in game development. If you have ever tried to use AI to extend the lifecycle of your game, make it more challenging, and most importantly, make it more fun, this book is for you. David M. Bourg (author of the best-selling Physics for Game Developers) and Glenn Seemann will introduce you to techniques such as finite state machines, fuzzy logic, and neural networks in a very intuitive and easy-to-understand language, with source code (written in C and C++) illustrating these techniques throughout the book. From basic game behaviors like chasing, dodging, pattern-based movement, and gathering to predicting player behavior, this book teaches you how to apply AI to give your game characters believable intelligence. These techniques include a mix of qualitative (traditional) and non-qualitative (more recent) AI technologies suitable for beginners in AI development. Other topics include:
- Using a single technique based on potential functions to handle chasing, dodging, gathering, and obstacle avoidance.
- Solving pathfinding problems using include waypoints and classic A algorithms.
- Expanding the functionality of the AI engine with AI scripting to allow designers and players to better design and play the game.
- Giving your game characters AI reasoning capabilities based on rules, including fuzzy logic and finite state machines.
- Using probabilistic analysis and advanced techniques like Bayesian reasoning to handle uncertainty.