Book Image

Practical Game AI Programming

By : Micael DaGraça
Book Image

Practical Game AI Programming

By: Micael DaGraça

Overview of this book

The book starts with the basics examples of AI for different game genres and directly jumps into defining the probabilities and possibilities of the AI character to determine character movement. Next, you’ll learn how AI characters should behave within the environment created. Moving on, you’ll explore how to work with animations. You’ll also plan and create pruning strategies, and create Theta algorithms to find short and realistic looking game paths. Next, you’ll learn how the AI should behave when there is a lot of characters in the same scene. You'll explore which methods and algorithms, such as possibility maps, Forward Chaining Plan, Rete Algorithm, Pruning Strategies, Wall Distances, and Map Preprocess Implementation should be used on different occasions. You’ll discover how to overcome some limitations, and how to deliver a better experience to the player. By the end of the book, you think differently about AI.
Table of Contents (17 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback
Navigation Behavior and Pathfinding
AI Planning and Collision Avoidance

Defining the states

Let's define what triggers each state and how the AI should choose the correct state in different scenarios. The PASSIVE state will be the default state, and the game will start in that position until the player comes across our character. The DEFENSIVE state will be used in two different situations if the player comes from the right side and if he has already confronted the player and has low HP. Finally, the AGGRESSIVE state will be activated if the player comes from the left side or has already arrived at the middle area:

public class Enemy : MonoBehaviour {
private int Health = 100;
private bool statePassive; 
private bool stateAggressive; 
private bool stateDefensive; 
private bool triggerL; 
private bool triggerR; 
private bool triggerM;
// Use this for initialisation 
void Start () { 
 statePassive = true; 
// Update is called once per frame 
void Update () {
 // The AI will remain passive until an interaction with the player occurs 
 if(Health == 100 &&amp...