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

Planning our journey

It's finally time to start planning our journey, before jumping into the next chapter.

Technical terminology

Since, for some of you, this is your first journey into AI, it's important that you have a small glossary of the technical terms that are used throughout this book (and in general, in AI). We have already encountered some of these in the past few pages:

  • Agents are systems that are capable of autonomous reasoning toward solving a specific set of goals.
  • Backward Chaining is the process of tracing the cause of a problem by working backwards.
  • Blackboard is an architecture for exchanging data between different agents, and sometimes even within the agent itself (especially in Unreal).
  • Environment...