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

A* Pathfinding


Next up, we'll be implementing the A* algorithm in a Unity environment using C#. The A* Pathfinding algorithm is widely used in games and interactive applications even though there are other algorithms, such as Dijkstra's algorithm, because of its simplicity and effectiveness. We've briefly covered this algorithm previously in Chapter 1, The Basics of AI in Games, but let's review the algorithm again from an implementation perspective.

Revisiting the A* algorithm

Let's review the A* algorithm again before we proceed to implement it in the next section. First, we'll need to represent the map in a traversable data structure. While many structures are possible, for this example, we will use a 2D grid array. We'll implement the GridManager class later to handle this map information. Our GridManager class will keep a list of the Node objects that are basically titles in a 2D grid. So, we need to implement that Node class to handle things such as node type (whether it's a traversable...