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Hands-On Artificial Intelligence with Unreal Engine

You're reading from   Hands-On Artificial Intelligence with Unreal Engine Everything you want to know about Game AI using Blueprints or C++

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781788835657
Length 552 pages
Edition 1st Edition
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Author (1):
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Francesco Sapio Francesco Sapio
Author Profile Icon Francesco Sapio
Francesco Sapio
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Francesco Sapio received his Master of Science in Engineering in Artificial Intelligence and Robotics degree from Sapienza University, Rome, Italy, a couple of semesters in advance, graduating with summa cum laude; he is currently a researcher at the same university. He is an Unreal and Unity 3D expert, skilled game designer, and an experienced user of major graphics programs. He helped the development of many games (both educational and commercial). He is also an active writer on the topic of game development. Finally, Francesco loves math, philosophy, logic, and puzzle solving, but most of all, creating video gamesthanks to his passion for game designing and programming.
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: The Unreal Framework FREE CHAPTER
2. Making the First Steps in the World of AI 3. Behavior Trees and Blackboards 4. Navigation 5. Environment Querying System 6. Agent Awareness 7. Extending Behavior Trees 8. Crowds 9. Section 2: Designing and Implementing Behavior Trees
10. Designing Behavior Trees - Part I 11. Designing Behavior Trees - Part II 12. Designing Behavior Trees - Part III 13. Section 3: Debugging Methods
14. Debugging Methods for AI - Logging 15. Debugging Methods for AI - Navigation, EQS, and Profiling 16. Debugging Methods for AI - The Gameplay Debugger 17. Going Beyond 18. Other Books You May Enjoy

Summary

In this chapter, we have seen how the Unreal Engine handles crowds. In particular, we have seen two built-in systems. The first one is called Reciprocal Velocity Obstacles (RVO), which is very fast, but not very precise. The second is the Detour Crowd, which is a bit more expensive, but more precise and realistic.

In the next chapter, we will move on and learn how to implement our own Behavior Tree from scratch.

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Authors (1)

Profile icon Francesco Sapio
Francesco Sapio
LinkedIn icon
Francesco Sapio received his Master of Science in Engineering in Artificial Intelligence and Robotics degree from Sapienza University, Rome, Italy, a couple of semesters in advance, graduating with summa cum laude; he is currently a researcher at the same university. He is an Unreal and Unity 3D expert, skilled game designer, and an experienced user of major graphics programs. He helped the development of many games (both educational and commercial). He is also an active writer on the topic of game development. Finally, Francesco loves math, philosophy, logic, and puzzle solving, but most of all, creating video gamesthanks to his passion for game designing and programming.
Read more
See other products by Francesco Sapio

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