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Unity Artificial Intelligence Programming - Fourth Edition

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  • Create smarter game worlds and characters with C# programming
  • Apply automated character movement using pathfinding and steering behaviors
  • Implement non-player character decision-making algorithms using Behavior Trees and FSMs
  • Build believable and highly efficient artificial flocks and crowds
  • Create sensory systems for your AI with the most commonly used techniques
  • Construct decision-making systems to make agents take different actions
  • Explore the application of machine learning in Unity

Developing Artificial Intelligence (AI) for game characters in Unity 2018 has never been easier. Unity provides game and app developers with a variety of tools to implement AI, from the 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 your game's worlds and characters.

This fourth edition with Unity will help you break down AI into simple concepts to give you a fundamental understanding of the topic to build upon. 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.

Further on, you'll learn how to distinguish the state machine pattern and implement one of your own. This is followed by learning how to implement a basic sensory system for your AI agent and coupling it with a Finite State Machine (FSM).

Next, you'll learn how to use Unity's built-in NavMesh feature and implement your own A* pathfinding system. You'll then learn how to implement simple flocks and crowd dynamics, which are key AI concepts in Unity. Moving on, you'll learn how to implement a behavior tree through a game-focused example. Lastly, you'll apply all the concepts in the book to build a popular game.

  • Build richer games by learning the essential concepts in AI for games like Behavior Trees and Navigation Meshes
  • Implement character behaviors and simulations using the Unity Machine Learning toolkit
  • Explore the latest Unity 2018 features to make implementation of AI in your game easier
Page Count 246
Course Length 7 hours 22 minutes
Date Of Publication 30 Nov 2018


Aung Sithu Kyaw

Aung Sithu Kyaw is passionate about graphics programming, creating video games, writing, and sharing knowledge with others. He holds an MSc in digital media technology from the Nanyang Technological University (NTU), Singapore. Lastly, he worked as a research associate, which involved implementing a sensor-based real-time movie system using Unreal Development Kit. In 2011, he founded a tech start-up focusing on interactive media productions and backend server-side technologies.

Clifford Peters

Clifford Peters is a programmer and a computer scientist. He has reviewed the following Packt Publishing books: Unity Game Development Essentials, Unity 3D Game Development by Example Beginner's Guide, Unity 3 Game Development Hotshot, Unity 3.x Game Development by Example Beginner's Guide, Unity iOS Game Development Beginner's Guide, and Unity iOS Essentials.

Dr. Davide Aversa

Dr. Davide Aversa holds a Ph.D. in Artificial Intelligence and an M.Sc. in Artificial Intelligence and Robotics from the University of Rome "La Sapienza" in Italy. He has a strong interest in Artificial Intelligence for the development of Interactive Virtual Agents and Procedural Content Generation (PCG). He serves at the PC of videogame-related conferences such as the IEEE Conference on Computational Intelligence and Games (CIG) and he also is regularly participating in game-jam contests. He also writes a blog on Game Design and game development.