Unreal Engine 4 AI Programming Essentials
Create responsive and intelligent game AI using Blueprints in Unreal Engine 4
Published on 13. January 2025
188 pages
978-1-78439-655-8 (ISBN)
Description
Create responsive and intelligent game AI using Blueprints in Unreal Engine 4
Key Features
[*]Understand and apply your Game AI better through various projects such as adding randomness and probability, and introducing movement
[*]Configure and debug Game AI logic using multiple methodologies
[*] Bridge the gap between your knowledge and Game AI in Unreal Engine 4
Book DescriptionUnreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. Developers have the opportunity to build cross-platform mobile and desktop games from scratch. This book will show you how to apply artificial intelligence (AI) techniques to your Unreal project using blueprints as your scripting language. You will start with an introduction to AI, and learn how it is applied to gaming. Then you'll jump right in and create a simple AI bot and apply basic behaviors to allow it to move randomly. As you progress, you'll find out how to implement randomness and probability traits. Using NavMesh, you will impart navigation components such as character movement, MoveTo nodes, settings, and world objects, and implement Behavior Trees. At the end of the book, you will troubleshoot any issues that might crop up while building the game.What you will learn
? Understand the fundamental components of game AI within Unreal Engine 4
? Skillfully introduce game AI within Unreal Engine 4
? Configure, customize, and assign navigation and AI components to your pawn
? Create, debug, and analyze game AI behavior
? Design responsive game AI using the Behavior Tree methodology
? Create smart objects designed to interact with AI
? Utilize advanced AI features within your project to maximize the user experience
Who this book is forThis book is for programmers and artists who want to expand their knowledge of game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into game AI.
Key Features
[*]Understand and apply your Game AI better through various projects such as adding randomness and probability, and introducing movement
[*]Configure and debug Game AI logic using multiple methodologies
[*] Bridge the gap between your knowledge and Game AI in Unreal Engine 4
Book DescriptionUnreal Engine is a powerful game development engine that provides rich functionalities to create 2D and 3D games. Developers have the opportunity to build cross-platform mobile and desktop games from scratch. This book will show you how to apply artificial intelligence (AI) techniques to your Unreal project using blueprints as your scripting language. You will start with an introduction to AI, and learn how it is applied to gaming. Then you'll jump right in and create a simple AI bot and apply basic behaviors to allow it to move randomly. As you progress, you'll find out how to implement randomness and probability traits. Using NavMesh, you will impart navigation components such as character movement, MoveTo nodes, settings, and world objects, and implement Behavior Trees. At the end of the book, you will troubleshoot any issues that might crop up while building the game.What you will learn
? Understand the fundamental components of game AI within Unreal Engine 4
? Skillfully introduce game AI within Unreal Engine 4
? Configure, customize, and assign navigation and AI components to your pawn
? Create, debug, and analyze game AI behavior
? Design responsive game AI using the Behavior Tree methodology
? Create smart objects designed to interact with AI
? Utilize advanced AI features within your project to maximize the user experience
Who this book is forThis book is for programmers and artists who want to expand their knowledge of game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into game AI.
All prices
More details
Edition
Digital original
Language
English
Place of publication
Birmingham
United Kingdom
Target group
US School Grade: College Graduate Student
Edition type
Digital original
File size
19,34 MB
ISBN-13
978-1-78439-655-8 (9781784396558)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Peter L. Newton | Jie Feng
Unreal Engine 4 AI Programming Essentials
Book
03/2016
Packt Publishing
€45.20
Shipment within 3-4 weeks
Persons
Feng Jie :
Jie Feng is originally from Jiaxing, China. He is currently a PhD candidate at Columbia University, specializing in machine learning and computer vision. He has conducted research on problems ranging from detecting and recognizing objects in images and retrieving similar images from large-scale databases to understanding human behavior in videos. Jie's work has been published at top international conferences, and he has been granted a U.S. patent. He is also a software designer and developer and has worked at Microsoft, Amazon, and Adobe. Jie is passionate about applying Artificial Intelligence to real-world problems. His project using Microsoft Kinect to analyze motion for fitness has won People's Choice Award at Innovative Health Tech NYC competition, 2013. Jie is currently working on a fashion discovery product named EyeStyle. Video games are the very thing that motivated him to study computer science. His favorite genre is action adventure. Titles including Resident Evil, Tomb Raider, and Uncharted inspire him in innovative thinking. This book is a unique experience for Jie to put his knowledge on Artificial Intelligence to game design and examine the potential of creating intelligent characters using Unreal Engine 4.Newton Peter :
Peter L. Newton is a programmer who started on the game development scene when game modding was most relevant back in 2001. Since then, his skills have developed, allowing him to gain jobs as a game engine developer, and currently contracting with clients developing games and CG experiences.
Jie Feng is originally from Jiaxing, China. He is currently a PhD candidate at Columbia University, specializing in machine learning and computer vision. He has conducted research on problems ranging from detecting and recognizing objects in images and retrieving similar images from large-scale databases to understanding human behavior in videos. Jie's work has been published at top international conferences, and he has been granted a U.S. patent. He is also a software designer and developer and has worked at Microsoft, Amazon, and Adobe. Jie is passionate about applying Artificial Intelligence to real-world problems. His project using Microsoft Kinect to analyze motion for fitness has won People's Choice Award at Innovative Health Tech NYC competition, 2013. Jie is currently working on a fashion discovery product named EyeStyle. Video games are the very thing that motivated him to study computer science. His favorite genre is action adventure. Titles including Resident Evil, Tomb Raider, and Uncharted inspire him in innovative thinking. This book is a unique experience for Jie to put his knowledge on Artificial Intelligence to game design and examine the potential of creating intelligent characters using Unreal Engine 4.Newton Peter :
Peter L. Newton is a programmer who started on the game development scene when game modding was most relevant back in 2001. Since then, his skills have developed, allowing him to gain jobs as a game engine developer, and currently contracting with clients developing games and CG experiences.
Content
Table of Contents
What is Game AI?
Creating Basic AI
Adding Randomness and Probability
Introducing Movement
Giving our AI Choice
How does our AI Sense?
More Advanced Movement
Creating Enemy AI
What have we learned?
What is Game AI?
Creating Basic AI
Adding Randomness and Probability
Introducing Movement
Giving our AI Choice
How does our AI Sense?
More Advanced Movement
Creating Enemy AI
What have we learned?
