
Unity Artificial Intelligence Programming
Add powerful, believable, and fun AI entities in your game with the power of Unity
Dr. Davide Aversa(Author)
Packt Publishing
5th Edition
Published on 28. March 2022
Book
Paperback/Softback
308 pages
978-1-80323-853-1 (ISBN)
Description
Learn and implement game AI in Unity to build smart environments and enemies with A* pathfinding, finite state machines, behavior trees, and the NavMesh
Key Features
Explore the latest Unity features to make AI implementation in your game easier
Build richer and more dynamic games using AI concepts such as behavior trees and navigation meshes
Implement character behaviors and simulations using the Unity Machine Learning toolkit
Book DescriptionDeveloping artificial intelligence (AI) for game characters in Unity has never been easier. Unity provides game and app developers with a variety of tools to implement AI, from basic techniques to cutting-edge machine learning-powered agents. Leveraging these tools via Unity's API or built-in features allows limitless possibilities when it comes to creating game worlds and characters.
The updated fifth edition of Unity Artificial Intelligence Programming starts by breaking down AI into simple concepts. 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. As you progress, you'll learn how to implement a finite state machine (FSM) to determine how your AI behaves, apply probability and randomness to make games less predictable, and implement a basic sensory system. Later, you'll understand how to set up a game map with a navigation mesh, incorporate movement through techniques such as A* pathfinding, and provide characters with decision-making abilities using behavior trees.
By the end of this Unity book, you'll have the skills you need to bring together all the concepts and practical lessons you've learned to build an impressive vehicle battle game.What you will learn
Understand the basics of AI in game design
Create smarter game worlds and characters with C# programming
Apply automated character movement using pathfinding algorithm behaviors
Implement character decision-making algorithms using behavior trees
Build believable and highly efficient artificial flocks and crowds
Create sensory systems for your AI world
Become well-versed with the basics of procedural content generation
Explore the application of machine learning in Unity
Who this book is forThis Unity artificial intelligence book is for Unity developers with a basic understanding of C# and the Unity Editor who want to expand their knowledge of AI Unity game development.
Key Features
Explore the latest Unity features to make AI implementation in your game easier
Build richer and more dynamic games using AI concepts such as behavior trees and navigation meshes
Implement character behaviors and simulations using the Unity Machine Learning toolkit
Book DescriptionDeveloping artificial intelligence (AI) for game characters in Unity has never been easier. Unity provides game and app developers with a variety of tools to implement AI, from basic techniques to cutting-edge machine learning-powered agents. Leveraging these tools via Unity's API or built-in features allows limitless possibilities when it comes to creating game worlds and characters.
The updated fifth edition of Unity Artificial Intelligence Programming starts by breaking down AI into simple concepts. 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. As you progress, you'll learn how to implement a finite state machine (FSM) to determine how your AI behaves, apply probability and randomness to make games less predictable, and implement a basic sensory system. Later, you'll understand how to set up a game map with a navigation mesh, incorporate movement through techniques such as A* pathfinding, and provide characters with decision-making abilities using behavior trees.
By the end of this Unity book, you'll have the skills you need to bring together all the concepts and practical lessons you've learned to build an impressive vehicle battle game.What you will learn
Understand the basics of AI in game design
Create smarter game worlds and characters with C# programming
Apply automated character movement using pathfinding algorithm behaviors
Implement character decision-making algorithms using behavior trees
Build believable and highly efficient artificial flocks and crowds
Create sensory systems for your AI world
Become well-versed with the basics of procedural content generation
Explore the application of machine learning in Unity
Who this book is forThis Unity artificial intelligence book is for Unity developers with a basic understanding of C# and the Unity Editor who want to expand their knowledge of AI Unity game development.
More details
Edition
5th Revised edition
Language
English
Place of publication
Birmingham
United Kingdom
Edition type
Revised edition
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 17 mm
Weight
579 gr
ISBN-13
978-1-80323-853-1 (9781803238531)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Dr. Davide Aversa holds a PhD in Artificial Intelligence (AI) and an MSc in AI and robotics from the University of Rome La Sapienza in Italy. He has a strong interest in AI for the development of interactive virtual agents and procedural content generation. He has served as a program committee member for video game-related conferences such as the IEEE conference on computational intelligence and games, and he also regularly participates in game-jam contests. He also writes a blog on game design and game development.
Content
Table of Contents
Introduction to AI
Finite State Machines
Randomness and Probability
Implementing Sensors
Flocking
Path Following and Steering Behaviors
A* Pathfinding
Navigation Mesh
Behavior Trees
Procedural Content Generation
Machine Learning in Unity
Putting It All Together
Introduction to AI
Finite State Machines
Randomness and Probability
Implementing Sensors
Flocking
Path Following and Steering Behaviors
A* Pathfinding
Navigation Mesh
Behavior Trees
Procedural Content Generation
Machine Learning in Unity
Putting It All Together