Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781803238531
Length 308 pages
Edition 5th Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Dr. Davide Aversa Dr. Davide Aversa
Author Profile Icon Dr. Davide Aversa
Dr. Davide Aversa
Arrow right icon
View More author details
Toc

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

Chapter 5: Flocking

During early summer evenings, you have probably seen flocks of birds flying in the sky. You have probably noted how they seem to move as a single living object: they all move in a particular direction, turn around, and grow and shrink. A flocking system aims to replicate this behavior in games: we want to implement an algorithm to move many objects as an organic group.

In games, we call each element of a flock a boid. To implement a flocking behavior, we do not need to equip each boid with a high-level complex decision-making system; instead, all we need to do is implement simple reactive rules for each boid that depend only on the state of the flock itself. Thus, flocking is an excellent example of emergent behavior: each boid reacts exclusively to its neighbor's behaviors; nevertheless, the flock seems to move as if someone were coordinating it.

In this chapter, we will learn what these rules are and how to implement them in Unity3D. We will implement...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime