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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

Path Finding

We will break the operation of Path Finding into different components that all work cohesively. The first component is NavMesh, which represents the traversable path. This isn't the only Navigable Mesh generation component, but this is also the most commonly used representation of the Navigable Mesh. Another component is NavMeshModifiers, which can serve different purposes. A few examples are as follows:

Influence Mapping: This allows you to feed the AI input information based on their location on NavMesh
Null Paths: These simply allow you to cut out areas of NavMesh
Allowed Paths: These simply allow you to block any AI that isn't allowed to navigate this area of NavMesh

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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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