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Unity Artificial Intelligence Programming

Unity Artificial Intelligence Programming

By : Dr. Davide Aversa
4.8 (4)
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Unity Artificial Intelligence Programming

Unity Artificial Intelligence Programming

4.8 (4)
By: Dr. Davide Aversa

Overview of this book

Developing artificial intelligence (AI) for game characters in Unity has never been easier. Unity provides game and app developers with a variety of tools to implement AI, from basic techniques to cutting-edge machine learning-powered agents. Leveraging these tools via Unity's API or built-in features allows limitless possibilities when it comes to creating game worlds and characters. The updated fifth edition of Unity Artificial Intelligence Programming starts by breaking down AI into simple concepts. Using a variety of examples, the book then takes those concepts and walks you through actual implementations designed to highlight key concepts and features related to game AI in Unity. As you progress, you’ll learn how to implement a finite state machine (FSM) to determine how your AI behaves, apply probability and randomness to make games less predictable, and implement a basic sensory system. Later, you’ll understand how to set up a game map with a navigation mesh, incorporate movement through techniques such as A* pathfinding, and provide characters with decision-making abilities using behavior trees. By the end of this Unity book, you’ll have the skills you need to bring together all the concepts and practical lessons you’ve learned to build an impressive vehicle battle game.
Table of Contents (17 chapters)
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1
Part 1:Basic AI
6
Part 2:Movement and Navigation
11
Part 3:Advanced AI

Summary

In this chapter, we learned about the applications of probability in AI game design. We experimented with some of the techniques by implementing them in Unity3D. As a bonus, we also learned about how a slot machine works and implemented a simple slot machine game using Unity3D. Probability in games is about making the game, and the characters, seem more realistic by adding uncertainty to their behavior so that players cannot predict the outcome.

In the next chapter, we will look at implementing sensors and how they can make our AI aware of its surroundings.

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