Book Image

Hands-On Artificial Intelligence with Unreal Engine

By : Francesco Sapio
5 (1)
Book Image

Hands-On Artificial Intelligence with Unreal Engine

5 (1)
By: Francesco Sapio

Overview of this book

Learning how to apply artificial intelligence ( AI ) is crucial and can take the fun factor to the next level, whether you're developing a traditional, educational, or any other kind of game. If you want to use AI to extend the life of your games and make them challenging and more interesting, this book is for you. The book starts by breaking down AI into simple concepts to get a fundamental understanding of it. Using a variety of examples, you will work through actual implementations designed to highlight key concepts and features related to game AI in UE4. You will learn to work through the built-in AI framework in order to build believable characters for every game genre (including RPG, Strategic, Platform, FPS, Simulation, Arcade, and Educational). You will learn to configure the Navigation, Environmental Querying, and Perception systems for your AI agents and couple these with Behavior Trees, all accompanied with practical examples. You will also explore how the engine handles dynamic crowds. In the concluding chapters, you will learn how to profile, visualize, and debug your AI systems to correct the AI logic and increase performance. By the end of the book, your AI knowledge of the built-in AI system in Unreal will be deep and comprehensive, allowing you to build powerful AI agents within your projects.
Table of Contents (19 chapters)
Free Chapter
1
Section 1: The Unreal Framework
9
Section 2: Designing and Implementing Behavior Trees
13
Section 3: Debugging Methods
14
Debugging Methods for AI - Logging

Agent Awareness

You can run, but you can't hide!

Oh, you're back? That's great, because it means that your eyes are capturing some light information that your brain is perceiving in an act that it is usually called reading. Everything we do, every decision we make, is based on what we perceive, and biologically we make short decision-making processes because time is crucial (e.g. you see a snake and your amygdala processes that information much faster and quicker than your visual cortex!).

With the same very concept, AI needs to base their decisions from facts by gathering information they need to perceive first. This chapter is all about perception, and how AI can get this information from the environment, so that it can be aware of its surroundings. We looked at EQS in the previous chapter, which gathers a lot of information about the surrounding environment and...