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

Choosing through a decision tree


One of the simplest mechanisms for tackling decision-making problems is decision trees, because they are fast and easy to grasp and implement. As a consequence, it's one of the most used techniques today; it is extensively used in other character-controlled scopes such as animations.

Getting ready

This recipe requires a good understanding of recursion and inheritance as we will constantly be implementing and calling virtual functions throughout the sections.

How to do it...

This recipe requires a lot of attention due to the number of files that we will need to handle. Overall, we will create a parent class DecisionTreeNode, from which we will derive the other ones. Finally, we will learn how to implement a couple of standard decision nodes:

  1. First, create the parent class, DecisionTreeNode:

    using UnityEngine;
    using System.Collections;
    public class DecisionTreeNode : MonoBehaviour
    {
        public virtual DecisionTreeNode MakeDecision()
        {
            return null;
      ...