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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 2018!

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789533910
Length 246 pages
Edition 4th Edition
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Authors (3):
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Dr. Davide Aversa Dr. Davide Aversa
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Dr. Davide Aversa
Clifford Peters Clifford Peters
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Clifford Peters
Aung Sithu Kyaw Aung Sithu Kyaw
Author Profile Icon Aung Sithu Kyaw
Aung Sithu Kyaw
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction to AI FREE CHAPTER 2. Finite State Machines 3. Randomness and Probability 4. Implementing Sensors 5. Flocking 6. Path-Following and Steering Behaviors 7. A* Pathfinding 8. Navigation Mesh 9. Behavior Trees 10. Machine Learning in Unity 11. Putting It All Together 12. Other Books You May Enjoy

Summary

This chapter introduces the concept of using sensors in implementing game AI, and we implemented two senses, Sight and Touch, for our AI character. The sensory system is just the first element of the decision-making system of a whole AI system. For instance, we can use the sensory system in combination with a behavior system to execute certain behaviors for certain senses, or we can use an FSM to change from the patrol state to chase and attack states once we have detected that there's an enemy within the AI's line of sight.

We will cover how to apply behavior tree systems in Chapter 9, Behavior Trees. In the meantime, in the next chapter, we'll look at how to implement flocking behaviors in Unity3D, as well as how to implement Craig Reynold's flocking algorithm.

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