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Hands-On Artificial Intelligence with Unreal Engine
Hands-On Artificial Intelligence with Unreal Engine

Hands-On Artificial Intelligence with Unreal Engine: Everything you want to know about Game AI using Blueprints or C++

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Hands-On Artificial Intelligence with Unreal Engine

Section 1: The Unreal Framework

In this section, we are going to explore in depth the built-in Unreal AI Framework. We will start from what are Behavior Trees and Blackboard, and we will proceed in learning about the Navigation System, the Environmental Querying System and the Perception System. Towards the end of this section, we will also understand how Unreal handles large Crowds, and how we can extend (both in Blueprint and C++) our Behavior Trees, by creating custom Tasks, Decorators and Services.

The following chapters will be covered in this section:

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Key benefits

  • Understand the built-in AI systems in Unreal Engine for building intelligent games
  • Leverage the power of Unreal Engine 4 programming to create game AI that focuses on motion, animation, and tactics
  • Learn to profile, visualize, and debug your Game AI for checking logic and optimizing performance

Description

Learning how to apply artificial intelligence ( AI ) is crucial and can take the fun factor to the next level, whether you're developing a traditional, educational, or any other kind of game. 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 by breaking down 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 to work through the built-in AI framework in order to build believable characters for every game genre (including RPG, Strategic, Platform, FPS, Simulation, Arcade, and Educational). You will learn to configure the Navigation, Environmental Querying, and Perception systems for your AI agents and couple these with Behavior Trees, all accompanied with practical examples. You will also explore how the engine handles dynamic crowds. 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.

Who is this book for?

Hands-On Artificial Intelligence with Unreal Engine is for you if you are a game developer with a bit experience in Unreal Engine, and now want to understand and implement believable game AI within Unreal Engine. The book will be both in Blueprint and C++, allowing people from every background to enjoy the book. Whether you're looking to build your first game or expand your knowledge to the edge as a Game AI Programmer, you will find plenty of exciting information and examples of game AI in terms of concepts and implementation, including how to extend some of these systems.

What you will learn

  • Get an in-depth knowledge about all the AI Systems within Unreal Engine
  • Create complex AIs, understanding the art of designing and developing Behavior Tree
  • Learn how to perform Environmental Queries (EQS)
  • Master the Navigation, Perception, and Crowd Systems
  • Profile and Visualize the AI Systems with powerful debugging tools
  • Extend every AI and Debug system with custom nodes and functions

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 25, 2019
Length: 552 pages
Edition : 1st
Language : English
ISBN-13 : 9781788831642
Vendor :
Epic Games
Languages :
Tools :

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Product Details

Publication date : Apr 25, 2019
Length: 552 pages
Edition : 1st
Language : English
ISBN-13 : 9781788831642
Vendor :
Epic Games
Languages :
Tools :

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Table of Contents

18 Chapters
Section 1: The Unreal Framework Chevron down icon Chevron up icon
Making the First Steps in the World of AI Chevron down icon Chevron up icon
Behavior Trees and Blackboards Chevron down icon Chevron up icon
Navigation Chevron down icon Chevron up icon
Environment Querying System Chevron down icon Chevron up icon
Agent Awareness Chevron down icon Chevron up icon
Extending Behavior Trees Chevron down icon Chevron up icon
Crowds Chevron down icon Chevron up icon
Section 2: Designing and Implementing Behavior Trees Chevron down icon Chevron up icon
Designing Behavior Trees - Part I Chevron down icon Chevron up icon
Designing Behavior Trees - Part II Chevron down icon Chevron up icon
Designing Behavior Trees - Part III Chevron down icon Chevron up icon
Section 3: Debugging Methods Chevron down icon Chevron up icon
Debugging Methods for AI - Logging Chevron down icon Chevron up icon
Debugging Methods for AI - Navigation, EQS, and Profiling Chevron down icon Chevron up icon
Debugging Methods for AI - The Gameplay Debugger Chevron down icon Chevron up icon
Going Beyond Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
(4 Ratings)
5 star 25%
4 star 0%
3 star 25%
2 star 50%
1 star 0%
Miguel Mar 12, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A book that covers all topics of AI in Unreal. Very useful, thank you!
Subscriber review Packt
Rose Sep 26, 2024
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
This is a good introduction to Unreal Engine's AI framework that is still applicable and mostly up-to-date in version 5.4.4, even though it was written in UE4. I enjoyed the GameplayDebugger extension a lot, but the BehaviorTree design section was rather short and simple, was definitely hoping for more advanced behavior there.
Subscriber review Packt
Amazon Customer Jul 01, 2020
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
'Hands-On' 'Everything you want to know about Game AI' talk about misleading phrases. This book has 14 chapters but only 3 of them actually walk you through building a behavior tree and its related components, even then the end result is a barebones 'chasing' AI algorithm that would come off as a completely unfinished mechanic in any game. The rest of the chapters just dump a bunch of information on you in regards to the different AI systems and features that Unreal offers but its all just theory because the author fails to offer examples as to how anyone would go about implementing any of it in their own game.Overall, despite being over 500 pages long this book offers almost nothing tangible for someone who is looking to implement useful AI functionality into their Unreal projects.
Amazon Verified review Amazon
jackfurneri1984 Mar 14, 2021
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
Sebbene di materiale scritto ce ne sia parecchio, ho trovato molti aspetti teorici che non trovano un risvolto pratico nell'utilizzo di Unreal.Ci sono solo 2/3 capitoli che mostrano un piccolo esempio ma molto basilare.Purtroppo ho dovuto richiedere il reso della merce dal momento che non ho trovato il prodotto utile per i miei fini lavorativi.
Amazon Verified review Amazon
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