Book Image

Unity AI Game Programming - Second Edition

By : Raymundo Barrera, Aung Sithu Kyaw, Clifford Peters, Thet Naing Swe
Book Image

Unity AI Game Programming - Second Edition

By: Raymundo Barrera, Aung Sithu Kyaw, Clifford Peters, Thet Naing Swe

Overview of this book

<p>Unity 5 provides game and app developers with a variety of tools to implement artificial intelligence. Leveraging these tools via Unity’s API or built-in features allows limitless possibilities when it comes to creating your game’s worlds and characters. Whether you are developing traditional, serious, educational, or any other kind of game, understanding how to apply artificial intelligence can take the fun-factor to the next level!</p> <p>This book helps you break down artificial intelligence into simple concepts to give the reader a fundamental understanding of the topic to build upon. Using a variety of examples, the book then takes those concepts and walks you through actual implementations designed to highlight key concepts, and features related to game AI in Unity 5. Along the way, several tips and tricks are included to make the development of your own AI easier and more efficient.</p> <p>Starting from covering the basic essential concepts to form a base for the later chapters in the book, you will learn to distinguish the state machine pattern along with implementing your own. This will be followed by learning how to implement a basic sensory system for your AI agent and coupling it with a finite state machine (FSM). Next you will be taught how to use Unity’s built-in NavMesh feature and implement your own A* pathfinding system. Then you will learn how to implement simple flocks and crowd’s dynamics, the key AI concepts. Then moving on you will learn how a behavior tree works and its implementation. Next you will learn adding layer of realism by combining fuzzy logic concepts with state machines. Lastly, you learn applying all the concepts in the book by combining them in a simple tank game.</p>
Table of Contents (15 chapters)
Unity AI Game Programming Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Learning the basics of behavior trees


It is called a tree because it is a hierarchical, branching system of nodes with a common parent, known as the root. As you've surely learned from reading this book, by now, behavior trees, too, mimic the real thing they are named after—in this case, trees. If we were to visualize a behavior tree, it would look something like the following figure:

A basic tree structure

Of course, behavior trees can be made up of any number of nodes and children nodes. The nodes at the very end of the hierarchy are referred to as leaf nodes, just like a tree. Nodes can represent behaviors or tests. Unlike state machines, which rely on transition rules to traverse through it, a BT's flow is defined strictly by each node's order within the larger hierarchy. A BT begins evaluating from the top (based on the preceding visualization) of the tree, then continues through each child, which, in turn, runs through each of its children until a condition is met or the leaf node is...