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Unity Artificial Intelligence Programming

You're reading from   Unity Artificial Intelligence Programming Add powerful, believable, and fun AI entities in your game with the power of Unity

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781803238531
Length 308 pages
Edition 5th Edition
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Author (1):
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Dr. Davide Aversa Dr. Davide Aversa
Author Profile Icon Dr. Davide Aversa
Dr. Davide Aversa
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Table of Contents (17) Chapters Close

Preface 1. Part 1:Basic AI
2. Chapter 1: Introduction to AI FREE CHAPTER 3. Chapter 2: Finite State Machines 4. Chapter 3: Randomness and Probability 5. Chapter 4: Implementing Sensors 6. Part 2:Movement and Navigation
7. Chapter 5: Flocking 8. Chapter 6: Path Following and Steering Behaviors 9. Chapter 7: A* Pathfinding 10. Chapter 8: Navigation Mesh 11. Part 3:Advanced AI
12. Chapter 9: Behavior Trees 13. Chapter 10: Procedural Content Generation 14. Chapter 11: Machine Learning in Unity 15. Chapter 12: Putting It All Together 16. Other Books You May Enjoy

Revisiting the A* algorithm

Let's review the A* algorithm before we proceed to implement it in the next section. The foundation of any pathfinding algorithm is a representation of the world. Pathfinding algorithms cannot search over the noisy structure of polygons in the game map; instead, we need to provide them with a simplified version of the world. Using this simplified structure, we can identify the locations that an agent can traverse, as well as the inaccessible ones.

There are many ways of doing this; however, for this example, we use one of the most straightforward solutions: a 2D grid. Therefore, we implement the GridManager class to convert the "real" map into a 2D tile representation. The GridManager class keeps a list of Node objects representing a single tile in the 2D grid. First, of course, we need to implement the Node class too: this class stores node information such as its position, whether it's a traversable node or an obstacle, the cost...

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