Unreal Engine 4 AI Programming Essentials电子书

Unreal Engine 4 AI Programming Essentials

Table of Contents

Unreal Engine 4 AI Programming Essentials

Credits

About the Authors

About the Reviewer

www.PacktPub.com

eBooks, discount offers, and more

Why subscribe?

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

1. Introduction to Game AI

Game Artificial Intelligence

How AI affects the gaming experience

Techniques and practices of game AI

Navigation

Achieving realistic movement with Steering

Creating a character with randomness and probability

Creating complex decision making with Behavior Tree

Root

Decorators

Composites

Services

Tasks

Blackboard

Sensory systems

Machine learning

Tracing

Influence Mapping

Unreal Engine 4 tools

Summary

2. Creating Basic AI

Goal

Setting up the project

Environment

Prerequisites

Using our new AIController class

Assigning the AIController class

Placing the pawn

Sending the instructions

Small tips on MoveToLocation

Reviewing the current progress

Adding the challenge

Traces

Reviewing the current progress

The Enemy logic

Adding the Enemy AI

Summary

3. Adding Randomness and Probability

Introducing probability

Probabilistic distribution

Non-uniform distribution

RandomStream in Unreal Engine 4

The plan

Adding Wander

Setting up the project

Creating probability

Non-uniform distribution with RandomStream

Creating transitions

Fleeing and attacking

Back to the action

The results!

Summary

4. Introducing Movement

Overview

Path Finding

The A* algorithm

Navigation Mesh

RecastNavMesh

The movement component

The AIController

Let's start!

Waypoints

Navigation

Navigation Modifiers

Back in the editor

The NavArea class

The navigation cost

Summary

5. Giving AI Choices

Behavior Tree in AIController

Creating Behavior Tree

Blackboard

Designing Behavior Tree

The Behavior Tree service

State transitions

Blackboard Compare Decorator

Environment Query System

Summary

6. How Does Our AI Sense?

Overview

AI Sense

AI Perception components

State machines

Pawn detection

State transition

Resetting the state

Simulating and playing

Summary

7. More Advanced Movement

Setting up the agents

Viewing the agent

Following the agent

Follow or lead

Steering behavior: Flocking

Flocking agents

Controlling behavior through UMG

A simple UI

Summary

8. Creating Patrol, Chase, and Attack AI

Creating a Blackboard

Mid-range attack

Controllers

Waypoints

BT Composites, Task, Decorator, and Service

Creating the logic

Summary

9. What Have We Learned?

Creating basic AI

The pros and cons of using controls

Adding randomness and probability

The pros and cons of using randomness

The pros and cons of using probability

Introducing movement

Giving our AI choice

The pros and cons of using EQS

The pros and cons of using Blueprint

How does our AI sense?

More advanced movement

Creating patrol, chase, and attack AI

The pros and cons of using Behavior Tree

The pros and cons of using blueprint for AI

Summary

Index