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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 applied some of the AI techniques that we learned previously to our simple tanks combat game. Then, of course, we'd be able to use some more techniques in a larger game scope. Still, in this short chapter, we reused the simple FSM framework that we built in Chapter 2, Finite State Machines, as well as Unity's built-in navigation meshes capabilities.

This example project is a perfect starting point for exploring the AI techniques introduced in this book. You can implement many more improvements to the AI of this demo, and I encourage you to play with it a bit more. There are several pieces of low-hanging fruit, so here are my suggestions:

As a first exercise, you can increase the number of states, for instance, by adding a Chasing state in which the tank will actively look for the player. This structure is like the Attack state, but with a bigger radius. Then, as a more significant step, try to replace the FSM with a Behavior tree. The Behavior...

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