Book Image

Unity 5.x Game AI Programming Cookbook

By : Jorge Palacios
5 (1)
Book Image

Unity 5.x Game AI Programming Cookbook

5 (1)
By: Jorge Palacios

Overview of this book

Unity 5 comes fully packaged with a toolbox of powerful features to help game and app developers create and implement powerful game AI. 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 practical Cookbook covers both essential and niche techniques to help you be able to do that and more. This Cookbook is engineered as your one-stop reference to take your game AI programming to the next level. Get to grips with the essential building blocks of working with an agent, programming movement and navigation in a game environment, and improving your agent's decision making and coordination mechanisms - all through hands-on examples using easily customizable techniques. Discover how to emulate vision and hearing capabilities for your agent, for natural and humanlike AI behaviour, and improve them with the help of graphs. Empower your AI with decision-making functions through programming simple board games such as Tic-Tac-Toe and Checkers, and orchestrate agent coordination to get your AIs working together as one.
Table of Contents (15 chapters)
Unity 5.x Game AI Programming Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Handling random numbers better


Sometimes, we need to create random behaviors that don't differ too much from a pivot point; this is the case of an aiming behavior. A normalized random behavior will shoot equally along the x and the y axes over a given distance from the aiming point. However, we would like most of the bullets to aim closer to the target because that's the expected behavior.

Most of the random functions out there return normalized values along the range given to them, and those are the expected results. Nonetheless, this is not completely useful for certain features in game development, as we just said. We will implement a random function to be used in our games with normal distribution instead of a normal distribution.

Getting ready

It is important to understand the differences between uniform and normal distribution. In the following figure, we can see a graphical representation of the behavior we're looking for by applying normal distribution with the example mentioned in...