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Unreal Engine 4 AI Programming Essentials

You're reading from Unreal Engine 4 AI Programming Essentials Create responsive and intelligent game AI using Blueprints in Unreal Engine 4

Product type Paperback

Published in Mar 2016

Publisher

ISBN-13 9781784393120

Length 188 pages

Edition 1st Edition

Languages

C++

Tools

Unreal

Concepts

Game Artificial Intelligence

Authors (2):

Jie Feng

Peter Newton

View More author details

Table of Contents (11) Chapters

Preface

1. Introduction to Game AI FREE CHAPTER

2. Creating Basic AI

3. Adding Randomness and Probability

4. Introducing Movement

5. Giving AI Choices

6. How Does Our AI Sense?

7. More Advanced Movement

8. Creating Patrol, Chase, and Attack AI

9. What Have We Learned?

Index

More advanced movement

Advanced movement allows for flocking behavior. This type of movement behavior is commonly seen by flocks of birds or schools of fish. There is more movement behavior, such as queuing, which tells only one unit to go through a door at a time, for example. Squad behavior is great when you have units that protect each other.

The advantage of using movement behavior is that it doesn't require additional decision making for your AI. This also allows you to take some of the computation out of the tree and calculate it on the pawn.

The rest of the chapter is locked

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Authors (2)

Newton

Newton

Thomas Newton has over 20 years of experience in software engineering, creating highly scalable and flexible software solutions for clients. During this period, he has developed a broad range of expertise ranging from data visualizations, to large-scale cloud platforms, to continuous delivery and DevOps. When not going in a new technology, he spends time with his beautiful family.

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Feng

Feng

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.

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