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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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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

Preface

Learning how to apply AI is crucial and can take the fun factor to the next level when developing traditional, educational, or any other kind of game. Unreal Engine is a powerful game development engine that allows you to create 2D and 3D games. If you want to use AI to extend the life of your games and make them challenging and more interesting, this book is for you.

The book starts with breaking down artificial intelligence (AI) into simple concepts to get a fundamental understanding of it. Using a variety of examples, you will work through actual implementations designed to highlight key concepts and features related to game AI in UE4. You will learn how to work through the built-in AI framework to build believable characters for every genre (e.g. RPG, Strategic, Platform, FPS, Simulation, Arcade, and Educational games). You will learn how to configure Navigation, Environmental Querying and Sensory systems for your AI agents and couple it with Behavior Trees, all with practical examples. You will then explore how the engine handles dynamic crowd. In the concluding chapters, you will learn how to profile, visualize and debug your AI systems, to correct the AI logic, and increase performance.

By the end of the book, your AI knowledge of the built-in AI system in Unreal will be deep and comprehensive, allowing you to build powerful AI agents within your projects.

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