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Unity 5.x Game AI Programming Cookbook

You're reading from   Unity 5.x Game AI Programming Cookbook Build and customize a wide range of powerful Unity AI systems with over 70 hands-on recipes and techniques

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Product type Paperback
Published in Mar 2016
Publisher Packt
ISBN-13 9781783553570
Length 278 pages
Edition 1st Edition
Tools
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Authors (2):
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Jorge Palacios Jorge Palacios
Author Profile Icon Jorge Palacios
Jorge Palacios
Jorge Elieser P Garrido Jorge Elieser P Garrido
Author Profile Icon Jorge Elieser P Garrido
Jorge Elieser P Garrido
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Toc

Table of Contents (10) Chapters Close

Preface 1. Behaviors – Intelligent Movement FREE CHAPTER 2. Navigation 3. Decision Making 4. Coordination and Tactics 5. Agent Awareness 6. Board Games AI 7. Learning Techniques 8. Miscellaneous Index

Extending A* for coordination: A*mbush

After learning how to implement A* for path finding, we will now use its power and flexibility to develop some kind of coordinated behavior in order to ambush the player. This algorithm is especially useful when we want a non-expensive solution for the aforementioned problem, and one that is also easy to implement.

This recipe sets the path for every agent to be taken into account when it comes to ambushing a given vertex or point in the graph.

Getting ready

We need a special component for the agents called Lurker. This class will hold the paths that are to be used later in the navigation process.

The following is the code for Lurker:

using UnityEngine;
using System.Collections;
using System.Collections.Generic;

public class Lurker : MonoBehaviour
{
    [HideInInspector]
    public List<int> pathIds;
    [HideInInspector]
    public List<GameObject> pathObjs;

    void Awake()
    {
        if (pathIds == null)
            pathIds = new List...
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