Book Image

Unity 2017 Game AI Programming - Third Edition - Third Edition

Book Image

Unity 2017 Game AI Programming - Third Edition - Third Edition

Overview of this book

Unity 2017 provides game and app developers with a variety of tools to implement Artificial Intelligence. 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 third edition with Unity will help you break down Artificial Intelligence 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 5. Further on you will learn 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 will then learn how to implement simple flocks and crowd's dynamics, key AI concepts. Moving on, you will learn how to implement a behavior tree through a game-focused example. Lastly, you'll combine fuzzy logic concepts with state machines and apply all the concepts in the book to build a simple tank game.
Table of Contents (10 chapters)

Using fuzzy logic

Once you understand the simple concepts behind fuzzy logic, it's easy to start thinking of the many, many ways in which it can be useful. In reality, it's just another tool in our belt, and each job requires different tools.

Fuzzy logic is great at taking some data, evaluating it in a similar way to how a human would (albeit in a much simpler way), and then translating the data back to information that is usable by the system.

Fuzzy logic controllers have several real-world use cases. Some are more obvious than others, and while these are by no means one-to-one comparisons to our usage in game AI, they serve to illustrate a point:

  • Heating ventilation and air conditioning (HVAC) systems: The temperature example when talking about fuzzy logic is not only a good theoretical approach to explaining fuzzy logic, but also a very common real-world example...