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pecheux m ai programming boost your unity c 2023

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Textbook in PDF format This book aims at giving you an all-around knowledge of the most common Artificial Intelligence (AI) techniques, from finite state machines to behaviour trees, planners and utility-based AI. As we progress in our journey, we’ll go through each tool one by one, and we’ll talk both about the why and the why use that technique instead of this one? did game developers come up with this architecture? how do you implement such a model in a Unity/C# project? By the end of your read, you should have a good grasp of where those famous AI tools come from, what well-known games leverage them today, and how you can use them in your future game projects. And you’ll also have several complete demo scenes to tweak and expand to your liking, so as to deepen your understanding of the topic. Do you want to bring your NPCs, mobs and bosses to life? Are you curious to learn the classic tools of the game AI developer? Are you looking for a hands-on approach to AI programming for your next Unity/C# project? Then this book might just be the right one for you! From finite state machines to behaviour trees, planners and utility-based AI, Boost your Unity/C#: AI Programming takes you through all the must-know of the field. And yes, don’t worry – here, you’ll get the whole shebang: a brief history of the domain, the what and the why for each tool, direct references to papers/conferences/thesis for diving even deeper, plenty of diagrams and nice screenshots, right down to step-by-step implementation examples with clean code snippets and a reference Github repository for all the demos shown in the book! Who is this book for? Boost your Unity/C#: AI Programming is written for game developers who want to learn more about artificial intelligence in the context of video games, and who are looking for a hands-on approach to AI programming. Readers should be familiar with Unity – in particular, the book will not detail all the steps to setting up game objects in a scene, or adding and editing components. Also, as all code samples use C#, a good knowledge of C# is a definite plus (although some core C# principles will be recalled when needed). What is this book about? Chapter 1: AI in games gives an overview of the topic by discussing what artificial intelligence is (and most notably its various specificities for games), and by going through a brief history of the field. Chapter 2: Designing a single-script robot AI offers a first dive into game AI programming through the basic example of a 2D exploration game. In this chapter, you will see that game AI doesn’t have to be complex, and that a single C# script can be enough for modelling simple behaviours. Chapter 3: What are FSMs? marks the beginning of our study of the most common AI programming tools, starting with the finite state machines (FSMs). This chapter introduces the basics of the technique, as well as its strengths and weaknesses. Chapter 4: Making a simple guard AI continues on the topic of finite state machines and explores how to apply this architecture to give life to various units in a 3D scene. Chapter 5: Upgrading your finite state machines wraps up the discussion on state machines by browsing through some famous extensions of the classical FSM model, and highlighting how they can mitigate some of the issues we usually face with state machines. Chapter 6: Understanding behaviour trees introduces the next important element in a game AI developer’s toolbox – behaviour trees (BTs). This chapter explains the fundamentals of BTs, how they differ from finite state machines and why they are an interesting alternative. Chapter 7: Creating a behaviour tree toolbox then goes through the step-by-step implementation of a custom BehaviorTree C# package to start and apply the theory from Chapter This library is an ensemble of utilities for making behaviour tree-based AI in a Unity/C# project, and it contains several handy base objects for creating such structures. Chapter 8: Implementing a RTS collector AI builds upon the previous chapters and shows how to gradually implement a collector AI for a real-time strategy game (RTS) thanks to behaviour trees. This chapter puts in practice the various notions studied during Chapter 6 and relies on the BehaviorTree C# package written in Chapter Chapter 9: The reverse-thinking of planners shifts the focus to another type of less-structured AI programming tool called the AI planners. The chapter offers an in-depth summary of automated planning and AI planners in video games, plus a list of interesting implementations. Chapter 10: Discovering utility-based AI continues this discussion on less-rigid AI techniques by focusing on a more recent tool: the utility-based AI (UBAI). This introductory chapter presents the core principles of this technique, a simple example to understand the thought-process behind it and a quick run-through of the most notable advantages and drawbacks of UBAI. Chapter 11: Designing a utility-based wizard AI expands on the knowledge from the previous chapter and shows how to apply UBAI to a single-player magic duel game to create a worthy AI opponent for the player. Finally, Chapter 12: Expanding your horizons takes a step back and reflects upon the tools studied throughout the book and the possible extensions or improvements. This final chapter also contains a list of extra resources and creators to check out to continue your exploration of the topic

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pecheux m ai programming boost your unity c 2023