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


This chapter has described how to use 2D or 3D animations to complement the actions of a character. Animations play an important part in the development of a believable AI character, and by using them correctly, the character can transmit to the player a real sensation that the character is alive and that they react autonomously. Even if the character has limited actions, we can use animations to fake or hide some of them, giving the impression that it is reacting that way because it thinks for itself.

In the next chapter, we'll be talking about navigation behavior and pathfinding, that is how to program the AI character to walk towards the desired position and choose the best route.