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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

Chapter 5. Giving AI Choices

In this chapter, you will learn how to introduce autonomous behavior into your characters using Behavior Tree. Behavior Tree is a methodology that allows you to view your AI logic visually. Behavior Tree is a type of hierarchical task network resulting in a state-oriented design. So, each state will dictate our current task instead of a goal.

This chapter will cover:

Behavior Tree
Blackboard
The components of Behavior Tree, including Selector, Decorator, Service, and so on
Building a Behavior Tree to run on a dog character

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.

See other products by Newton

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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