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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
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Aung Sithu Kyaw
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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

Basic flocking behavior

As we said in the introduction to this chapter, we can describe a flocking behavior by using just three intuitive rules:

  • Separation: Also called short-range repulsion, this instructs each boid to maintain a minimum distance with neighboring boids to avoid collisions. You can imagine this rule as a force that pushes the boid away from the others.
  • Alignment: According to this rule, each boid tends to move in the same direction as the flock (measured as the average direction of all the individual boids).
  • Cohesion: Also called long-range attraction, this instructs each boid to move toward the center of mass of the flock (measured by averaging the position of each boid in the flock). You can imagine this rule as a force that pushes the boid toward the center of the flock.

In this section, we'll create our scene with flocks of objects, and will implement...

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