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Practical Game AI Programming

You're reading from Practical Game AI Programming Unleash the power of Artificial Intelligence to your game

Product type Paperback

Published in Jun 2017

Publisher Packt

ISBN-13 9781787122819

Length 348 pages

Edition 1st Edition

Languages

C#

Tools

Unity

Concepts

Artificial Intelligence

Author (1):

Micael DaGraça

View More author details

Table of Contents (11) Chapters

Preface

1. Different Problems Require Different Solutions FREE CHAPTER

2. Possibility and Probability Maps

3. Production System

4. Environment and AI

5. Animation Behaviors

6. Navigation Behavior and Pathfinding

7. Advanced Pathfinding

8. Crowd Interactions

9. AI Planning and Collision Avoidance

10. Awareness

Advanced Pathfinding

In this chapter, we will take a look at the advanced pathfinding methods that can be used in a wide range of games. The main objective of this chapter is to learn the foundations of how to create an advanced AI element that can analyze the map and process all the necessary information in order to decide the best path that needs to be taken. Advanced pathfinding methods can be found in many popular game titles that require the AI character to choose the best path in real time, and we will analyze some of the most famous examples and how can we replicate the same results.

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Authors (1)

DaGraça

DaGraça

Micael DaGraça is a professional game designer and interactive creator who works with independent video game studios and creates interactive apps focused on the health and pharmaceutical industries. He studied digital arts at the University of IESA Multimedia, Paris, and ESAD Matosinhos. He started his career as a project manager in a small studio and then gradually started working as a game developer by helping other studios to develop their games. More recently, he has been creating interactive content for the pharmaceutical industry.

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