Book Image

Unity 2017 Game AI Programming - Third Edition - Third Edition

Book Image

Unity 2017 Game AI Programming - Third Edition - Third Edition

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.

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Table of Contents (10 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
The Basics of AI in Games
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
2
Finite State Machines and You
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
3
Implementing Sensors
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
4
Finding Your Way
Finding Your Way
Technical Requirements
Following a path
A* Pathfinding
Navigation mesh
Summary
5
Flocks and Crowds
Flocks and Crowds
Technical Requirements
Learning the origins of flocks
Understanding the concepts behind flocks and crowds
Using the Reynolds algorithm
Using crowds
Summary
6
Behavior Trees
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
7
Using Fuzzy Logic to Make Your AI Seem Alive
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
8
How It All Comes Together
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
9
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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:

  • The basics of a behavior tree
  • The benefits of using existing behavior tree solutions
  • How to implement our own behavior tree framework
  • How to implement a basic tree using our framework
Previous Section
End of Section 1
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