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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

Summary

In this chapter, we learned how to generate and use NavMeshes to implement pathfinding for our games. First, we studied how to set up different navigation layers with varying costs for pathfinding. Then, using the destination property, we used the Nav Mesh Agent component to find the path and move toward the target. Next, we set up Off Mesh Links to connect the gaps between the NavMeshes using the autogeneration feature and a manual setup with the Off Mesh Link component.

With all this information, we can now easily create simple games with a reasonably complicated AI. For example, you can try to set the destination property of AI tanks to the player's tank's position and make them follow it. Then, using simple FSMs, they can start attacking the player once they reach a certain distance. FSMs have taken us far, but they have their limits. In the next chapter, we will learn about Behavior Trees and how we can use them to make AI decisions in even the most complex...

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