Description
Book SynopsisBehavior Trees (BTs) provide a way to structure the behavior of an artificial agent such as a robot or a non-player character in a computer game. Traditional design methods, such as finite state machines, are known to produce brittle behaviors when complexity increases, making it very hard to add features without breaking existing functionality. BTs were created to address this very problem, and enables the creation of systems that are both modular and reactive. Behavior Trees in Robotics and AI: An Introduction provides a broad introduction as well as an in-depth exploration of the topic, and is the first comprehensive book on the use of BTs.
This book introduces the subject of BTs from simple topics, such as semantics and design principles, to complex topics, such as learning and task planning. For each topic, the authors provide a set of examples, ranging from simple illustrations to realistic complex behaviors, to enable the reader
Table of Contents
1. What are Behavior Trees? 2. How Behavior Trees Generalize and Relate to Earlier Ideas 3. Design principles 4. Extensions of Behavior Trees 5. Analysis of Efficiency, Safety, and Robustness 6. Formal Analysis of How Behavior Trees Generalize Earlier Ideas 7. Behavior Trees and Automated Planning 8. Behavior Trees and Machine Learning 9. Stochastic Behavior Trees 10. Concluding Remarks
