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

Creating emergent particles using a harmony search


Being a musician myself, this recipe is one that is close to my heart. Imagine a group of musicians with a base theme in mind. But, they've never played with each other, and as the song changes, they must adapt to the core tones with their instruments and their styles. The emulation of this adaptation is implemented using an algorithm called harmony search.

Getting ready…

We will need to define an objective function as a delegate in order to set it up before calling the function.

How to do it…

We will now implement the algorithm in a class:

  1. Create the HarmonySearch class:

    using UnityEngine;
    using System.Collections;
    
    public class HarmonySearch : MonoBehaviour
    {
    
    }
  2. Define the public inputs that are to be tuned:

    [Range(1, 100)]
    public int memorySize = 30;
    public int pitchNum;
    // consolidation rate
    [Range(0.1f, 0.99f)]
    public float consRate = 0.9f;
    // adjustment rate
    [Range(0.1f, 0.99f)]
    public float adjsRate = 0.7f;
    public float range = 0.05f;
    public...