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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

2. Creating Basic AI FREE CHAPTER

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

Creating patrol, chase, and attack AI

We demonstrated how to create AI that will patrol between waypoints you lay within the world. Then, if you ever get in sight of the AI, it will immediately begin to chase you. If you are within the attack range of AI, it will shoot its laser!

I believe each component has its strengths and that they create the most intelligent and responsive AI together. After creating AI without Behavior Tree, you start to wonder whether it's truly necessary to use. The problem dictates the solution, and when you use one solution for every problem, you don't solve anything. I find that using the strengths of Behavior Tree and other components to fill in the weakness results in the most promising behavior.

The pros and cons of using Behavior Tree

The following are the pros:

It is easily extensible
It syncs the Blackboard instances

The following are the cons:

The design dictates the execution flow
Setup is required

The pros and cons of using blueprint for AI

The following...

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.

See other products by Feng

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