Book Overview & Buying
Table Of Contents
Feedback & Rating

Unity 2017 Game AI Programming - Third Edition

2.8 (4)

Buy this Book

Unity 2017 Game AI Programming - Third Edition

2.8 (4)

Buy this Book

Overview of this book

Unity 2017 provides game and app developers with a variety of tools to implement Artificial Intelligence. Leveraging these tools via Unity's API or built-in features allows limitless possibilities when it comes to creating your game's worlds and characters. This third edition with Unity will help you break down Artificial Intelligence into simple concepts to give you a fundamental understanding of the topic to build upon. Using a variety of examples, the book then takes those concepts and walks you through actual implementations designed to highlight key concepts, and features related to game AI in Unity 5. Further on you will learn to distinguish the state machine pattern and implement one of your own. This is followed by learning how to implement a basic sensory system for your AI agent and coupling it with a Finite State Machine (FSM). Next you'll learn how to use Unity's built-in NavMesh feature and implement your own A* pathfinding system. You will then learn how to implement simple flocks and crowd's dynamics, key AI concepts. Moving on, you will learn how to implement a behavior tree through a game-focused example. Lastly, you'll combine fuzzy logic concepts with state machines and apply all the concepts in the book to build a simple tank game.

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

The Basics of AI in Games

Creating the illusion of life

Neural Networks

Leveling up your game with AI

Using AI in Unity

Defining the agent

Finite State Machines

Seeing the world through our agent's eyes

Path following and steering

Flocking and crowd dynamics

Behavior trees

Thinking with fuzzy logic

Summary

Finite State Machines and You

Technical Requirements

Finding uses for FSMs

Creating state machine behaviors

Setting up our player tank

Creating the enemy tank

Summary

Implementing Sensors

Technical Requirements

Basic sensory systems

Setting up the scene

Setting up the player tank and aspect

Creating an AI character

Using the Sense class

Giving a little perspective

Touching is believing

Testing the results

Summary

Finding Your Way

Technical Requirements

Following a path

A* Pathfinding

Navigation mesh

Summary

Flocks and Crowds

Technical Requirements

Learning the origins of flocks

Understanding the concepts behind flocks and crowds

Using the Reynolds algorithm

Using crowds

Summary

Behavior Trees

Technical Requirements

Learning the basics of behavior trees

Evaluating the existing solutions

Implementing a basic behavior tree framework

Testing our framework

HomeRock card game example

Summary

Using Fuzzy Logic to Make Your AI Seem Alive

Technical Requirements

Defining fuzzy logic

Using fuzzy logic

Using the resulting crisp data

The morality meter example

Finding other uses for fuzzy logic

Summary

How It All Comes Together

Technical Requirements

Setting up the rules

Creating the towers

Setting up the tank

Setting up the environment

Testing the example

Summary

Other Books You May Enjoy

Leave a review - let other readers know what you think

Customer Reviews

2.8 (4)

5 star

25%

4 star

25%

3 star

2 star

1 star

50%

Behavior Trees

Behavior trees (BTs) have been gaining popularity among game developers very steadily. Over the last decade, BTs have become the pattern of choice for many developers when it comes to implementing behavioral rules for their AI agents. Games such as Halo and Gears of War are among the more famous franchises to make extensive use of BTs. An abundance of computing power in PCs, gaming consoles, and mobile devices has made them a good option for implementing AI in games of all types and scopes.

In this chapter, we will cover the following topics: