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Unity Artificial Intelligence Programming
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Book Synopsis Unity Artificial Intelligence Programming by : Dr. Davide Aversa
Download or read book Unity Artificial Intelligence Programming written by Dr. Davide Aversa and published by Packt Publishing Ltd. This book was released on 2018-11-30 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unity 2018 provides game and app developers with a variety of tools to implement Artificial Intelligence(AI). Leveraging these tools via Unity's API allows limitless possibilities for creating your game's worlds and characters. This edition will break down AI into simple concepts to give you a fundamental understanding of the topic to build upon.
Book Synopsis Unity Artificial Intelligence Programming by : Dr. Davide Aversa
Download or read book Unity Artificial Intelligence Programming written by Dr. Davide Aversa and published by Packt Publishing Ltd. This book was released on 2022-03-28 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn and implement game AI in Unity to build smart environments and enemies with A* pathfinding, finite state machines, behavior trees, and the NavMesh Key Features Explore the latest Unity features to make AI implementation in your game easier Build richer and more dynamic games using AI concepts such as behavior trees and navigation meshes Implement character behaviors and simulations using the Unity Machine Learning toolkit Book Description 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. What you will learn Understand the basics of AI in game design Create smarter game worlds and characters with C# programming Apply automated character movement using pathfinding algorithm behaviors Implement character decision-making algorithms using behavior trees Build believable and highly efficient artificial flocks and crowds Create sensory systems for your AI world Become well-versed with the basics of procedural content generation Explore the application of machine learning in Unity Who this book is for This Unity artificial intelligence book is for Unity developers with a basic understanding of C# and the Unity Editor who want to expand their knowledge of AI Unity game development.
Book Synopsis Unity 2018 Artificial Intelligence Cookbook by : Jorge Palacios
Download or read book Unity 2018 Artificial Intelligence Cookbook written by Jorge Palacios and published by Packt Publishing Ltd. This book was released on 2018-08-28 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore various recipes to build games using popular artificial intelligence techniques and algorithms such as Navmesh navigation A*, DFS, and UCB1 Key Features Explore different algorithms for creating decision-making agents that go beyond simple behaviors and movement Discover the latest features of the NavMesh API for scripting intelligent behaviour in your game characters Create games that are non-predictable and dynamic and have a high replayability factor Book Description Interactive and engaging games come with intelligent enemies, and this intellectual behavior is combined with a variety of techniques collectively referred to as Artificial Intelligence. Exploring Unity's API, or its built-in features, allows limitless possibilities when it comes to creating your game's worlds and characters. This cookbook covers both essential and niche techniques to help you take your AI programming to the next level. To start with, you’ll quickly run through the essential building blocks of working with an agent, programming movement, and navigation in a game environment, followed by improving your agent's decision-making and coordination mechanisms – all through hands-on examples using easily customizable techniques. You’ll then discover how to emulate the vision and hearing capabilities of your agent for natural and humanlike AI behavior, and later improve the agents with the help of graphs. This book also covers the new navigational mesh with improved AI and pathfinding tools introduced in the Unity 2018 update. You’ll empower your AI with decision-making functions by programming simple board games, such as tic-tac-toe and checkers, and orchestrate agent coordination to get your AIs working together as one. By the end of this book, you’ll have gained expertise in AI programming and developed creative and interactive games. What you will learn Create intelligent pathfinding agents with popular AI techniques such as A* and A*mbush Implement different algorithms for adding coordination between agents and tactical algorithms for different purposes Simulate senses so agents can make better decisions, taking account of the environment Explore different algorithms for creating decision-making agents that go beyond simple behaviors and movement Create coordination between agents and orchestrate tactics when dealing with a graph or terrain Implement waypoints by making a manual selector Who this book is for The Unity 2018 Artificial Intelligence Cookbook is for you if you are eager to get more tools under your belt to solve AI- and gameplay-related problems. Basic knowledge of Unity and prior knowledge of C# is an advantage.
Book Synopsis Unity AI Game Programming by : Ray Barrera
Download or read book Unity AI Game Programming written by Ray Barrera and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage the power of Unity 5 to create fun and unbelievable AI entities in your games!About This Book- Compose richer games by learning the essential concepts in artificial intelligence with exciting examples- Explore the brand new Unity 5 features that make implementing artificial intelligence in your game easier than ever- Using this practical guide become a competent Unity 3D developer by learning AI techniques, methods and the applicability of AIWho This Book Is ForThis book is intended for Unity developers with a basic understanding of C# and the Unity editor. Whether you're looking to build your first game or are looking to expand your knowledge as a game programmer, you will find plenty of exciting information and examples of game AI in terms of concepts and implementation. It does not require any prior technical knowledge of how game AI works.What You Will Learn- Understand the basic terminology and concepts in game AI- Implement a basic finite state machine using state machine behaviors in Unity 5- Create sensory systems for your AI with the most commonly used techniques- Implement an industry-standard path-finding system and a navigation mesh with the Unity 5 NavMesh feature- Build believable and highly-efficient artificial flocks and crowds- Create a basic behavior tree to drive a character's actions- Make your characters more engaging by implementing fuzzy logic concepts in your AI's decision-making- Tie all the concepts together with examples and guidesIn DetailUnity 5 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. Whether you are developing traditional, serious, educational, or any other kind of game, understanding how to apply artificial intelligence can take the fun-factor to the next level!This book helps you break down artificial intelligence into simple concepts to give the reader 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. Along the way, several tips and tricks are included to make the development of your own AI easier and more efficient.Starting from covering the basic essential concepts to form a base for the later chapters in the book, you will learn to distinguish the state machine pattern along with implementing your own. This will be 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 will be taught how to use Unity's built-in NavMesh feature and implement your own A* pathfinding system. Then you will learn how to implement simple flocks and crowd's dynamics, the key AI concepts. Then moving on you will learn how a behavior tree works and its implementation. Next you will learn adding layer of realism by combining fuzzy logic concepts with state machines. Lastly, you learn applying all the concepts in the book by combining them in a simple tank game.Style and approachAn easy-to-follow guide that is full of example implementations of the concepts and is accompanied by easy-to-understand demonstrations and explanations of the code and concepts.
Book Synopsis Unity 5.x Game AI Programming Cookbook by : Jorge Palacios
Download or read book Unity 5.x Game AI Programming Cookbook written by Jorge Palacios and published by Packt Publishing Ltd. This book was released on 2016-03-31 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build and customize a wide range of powerful Unity AI systems with over 70 hands-on recipes and techniques About This Book Empower your agent with decision making capabilities using advanced minimaxing and Negamaxing techniques Discover how AI can be applied to a wide range of games to make them more interactive. Instigate vision and hearing abilities in your agent through collider based and graph based systems Who This Book Is For This book is intended for those who already have a basic knowledge of Unity and are eager to get more tools under their belt to solve AI and gameplay-related problems. What You Will Learn Use techniques such as A*and A*mbush to empower your agents with path finding capabilities. Create a representation of the world and make agents navigate it Construct decision-making systems to make the agents take different actions Make different agents coordinate actions and create the illusion of technical behavior Simulate senses and apply them in an awareness system Design and implement AI in board games such as Tic-Tac-Toe and Checkers Implement efficient prediction mechanism in your agents with algorithms such as N-Gram predictor and naive Bayes classifier Understand and analyze how the influence maps work. In Detail Unity 5 comes fully packaged with a toolbox of powerful features to help game and app developers create and implement powerful game AI. 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 practical Cookbook covers both essential and niche techniques to help you be able to do that and more. This Cookbook is engineered as your one-stop reference to take your game AI programming to the next level. Get to grips with the essential building blocks of working with an agent, programming movement and navigation in a game environment, and improving your agent's decision making and coordination mechanisms - all through hands-on examples using easily customizable techniques. Discover how to emulate vision and hearing capabilities for your agent, for natural and humanlike AI behaviour, and improve them with the help of graphs. Empower your AI with decision-making functions through programming simple board games such as Tic-Tac-Toe and Checkers, and orchestrate agent coordination to get your AIs working together as one. Style and approach This recipe-based guide will take you through implementing various AI algorithms. Each topic is explained and placed among other related techniques, sometimes building on the knowledge from previous chapters. There are also references to more technical books and papers, so you can dig deeper if you want to.
Book Synopsis Unity AI Programming Essentials by : Curtis Bennett
Download or read book Unity AI Programming Essentials written by Curtis Bennett and published by Packt Publishing Ltd. This book was released on 2014-12-22 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is aimed at developers who know the basics of game development with Unity and want to learn how to add AI to their games. You do not need any previous AI knowledge; this book will explain all the essential AI concepts and show you how to add and use them in your games.
Book Synopsis Beginning Game AI with Unity by : Sebastiano M. Cossu
Download or read book Beginning Game AI with Unity written by Sebastiano M. Cossu and published by Apress. This book was released on 2020-12-06 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Game developers will use this book to gain a basic knowledge of programming artificial intelligence using Unity and C#. You will not be bored learning the theory underpinning AI. Instead, you will learn by experience and practice, and complete an engaging project in each chapter. AI is the one of the most popular subjects in gaming today, ranging from controlling the behavior of non-player characters to procedural generated levels. This book starts with an introduction to AI and its use in games. Basic moving behaviors and pathfinding are covered, and then you move through more complex concepts of pathfinding and decision making. What You Will Learn Understand the fundamentals of AI Create gameplay-based AI to address navigation and decision-making problems Put into practice graph theory and behavior models Address pathfinding problems Use the A* algorithm, the deus ex machina of pathfinding algorithms Create a mini stealth game Who This Book Is For Developers and programming enthusiasts with a basic knowledge of Unity and C# who want to understand and master the foundations of artificial intelligence in games
Book Synopsis Practical Game AI Programming by : Micael DaGraca
Download or read book Practical Game AI Programming written by Micael DaGraca and published by Packt Publishing Ltd. This book was released on 2017-06-30 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jump into the world of Game AI development About This Book Move beyond using libraries to create smart game AI, and create your own AI projects from scratch Implement the latest algorithms for AI development and in-game interaction Customize your existing game AI and make it better and more efficient to improve your overall game performance Who This Book Is For This book is for game developers with a basic knowledge of game development techniques and some basic programming techniques in C# or C++. What You Will Learn Get to know the basics of how to create different AI for different type of games Know what to do when something interferes with the AI choices and how the AI should behave if that happens Plan the interaction between the AI character and the environment using Smart Zones or Triggering Events Use animations correctly, blending one animation into another and rather than stopping one animation and starting another Calculate the best options for the AI to move using Pruning Strategies, Wall Distances, Map Preprocess Implementation, and Forced Neighbours Create Theta algorithms to the AI to find short and realistic looking paths Add many characters into the same scene and make them behave like a realistic crowd In Detail The book starts with the basics examples of AI for different game genres and directly jumps into defining the probabilities and possibilities of the AI character to determine character movement. Next, you'll learn how AI characters should behave within the environment created. Moving on, you'll explore how to work with animations. You'll also plan and create pruning strategies, and create Theta algorithms to find short and realistic looking game paths. Next, you'll learn how the AI should behave when there is a lot of characters in the same scene. You'll explore which methods and algorithms, such as possibility maps, Forward Chaining Plan, Rete Algorithm, Pruning Strategies, Wall Distances, and Map Preprocess Implementation should be used on different occasions. You'll discover how to overcome some limitations, and how to deliver a better experience to the player. By the end of the book, you think differently about AI. Style and approach The book has a step-by-step tutorial style approach. The algorithms are explained by implementing them in #.
Book Synopsis Unity 4.x Game AI Programming by : Aung Sithu Kyaw
Download or read book Unity 4.x Game AI Programming written by Aung Sithu Kyaw and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step-by-step practical tutorialAre you are a programmer with basic knowledge of Unity3D who would like to add AI features to your game? Are you looking for a reference on implementing AI in Unity3D with simple to follow instructions, and lots of sample code and projects? Then this book is for you. You should have some background in C# language as this book will use C# for scripting. However if you know any other language you should be able to follow this book fairly easily.
Book Synopsis C# Game Programming Cookbook for Unity 3D by : Jeff W. Murray
Download or read book C# Game Programming Cookbook for Unity 3D written by Jeff W. Murray and published by CRC Press. This book was released on 2014-06-24 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Accessible, Modular Style of Game Building-Easily Start Making Games with Unity 3DC# Game Programming Cookbook for Unity 3D presents a highly flexible core framework to create just about any type of game by plugging in different script components. Most scripts function within the game framework or in your own structures. The techniques and conce
Book Synopsis Unity 2017 Game AI Programming - Third Edition by : Raymundo Barrera
Download or read book Unity 2017 Game AI Programming - Third Edition written by Raymundo Barrera and published by Packt Publishing Ltd. This book was released on 2018-01-11 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Unity 2017 to create fun and unbelievable AI entities in your games with A*, Fuzzy logic and NavMesh Key Features Explore the brand-new Unity 2017 features that makes implementing Artificial Intelligence in your game easier than ever Use fuzzy logic concepts in your AI decision-making to make your characters more engaging Build exciting and richer games by mastering advanced Artificial Intelligence concepts such as Neural Networks Book Description 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. What you will learn Understand the basic terminology and concepts in game AI Explore advanced AI Concepts such as Neural Networks Implement a basic finite state machine using state machine behaviors in Unity 2017 Create sensory systems for your AI and couple it with a Finite State Machine Wok with Unity 2017's built-in NavMesh features in your game Build believable and highly-efficient artificial flocks and crowds Create a basic behavior tree to drive a character's actions Who this book is for This book is intended for Unity developers with a basic understanding of C# and the Unity editor. Whether you're looking to build your first game or are looking to expand your knowledge as a game programmer, you will find plenty of exciting information and examples of game AI in terms of concepts and implementation.
Book Synopsis Unity Artificial Intelligence Programming - Fourth Edition by : Davide Aversa
Download or read book Unity Artificial Intelligence Programming - Fourth Edition written by Davide Aversa and published by . This book was released on 2018-11-30 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn and Implement game AI in Unity 2018 to build smart game environments and enemies with A*, Finite State Machines, Behavior Trees and NavMesh. Key Features 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 Book Description 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. What you will learn 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 Who this book is for This book is intended for Unity developers with a basic understanding of C# and the Unity editor. Whether you're looking to build your first game or are looking to expand your knowledge as a game programmer, you will find plenty of exciting information and examples of game AI in terms of concepts and implementation.
Book Synopsis Neural Networks in Unity by : Abhishek Nandy
Download or read book Neural Networks in Unity written by Abhishek Nandy and published by Apress. This book was released on 2018-07-14 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform. In this book you will start by exploring back propagation and unsupervised neural networks with Unity and C#. You’ll then move onto activation functions, such as sigmoid functions, step functions, and so on. The author also explains all the variations of neural networks such as feed forward, recurrent, and radial. Once you’ve gained the basics, you’ll start programming Unity with C#. In this section the author discusses constructing neural networks for unsupervised learning, representing a neural network in terms of data structures in C#, and replicating a neural network in Unity as a simulation. Finally, you’ll define back propagation with Unity C#, before compiling your project. What You'll Learn Discover the concepts behind neural networks Work with Unity and C# See the difference between fully connected and convolutional neural networks Master neural network processing for Windows 10 UWP Who This Book Is For Gaming professionals, machine learning and deep learning enthusiasts.
Book Synopsis Programming Game AI by Example by : Mat Buckland
Download or read book Programming Game AI by Example written by Mat Buckland and published by Jones & Bartlett Learning. This book was released on 2005 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes in detail many of the AI techniques used in modern computer games, explicity shows how to implement these practical techniques within the framework of several game developers with a practical foundation to game AI.
Book Synopsis Holistic Game Development with Unity by : Penny De Byl
Download or read book Holistic Game Development with Unity written by Penny De Byl and published by Taylor & Francis. This book was released on 2012 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: The art of programming mechanics -- Real world mechanics -- Animation mechanics -- Game rules and mechanics -- Character mechanics -- Player mecahnics -- Environmental mechanics -- Mechanics for externl forces.
Download or read book Unity in Action written by Joseph Hocking and published by Simon and Schuster. This book was released on 2018-03-27 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Manning's bestselling and highly recommended Unity book has been fully revised! Unity in Action, Second Edition teaches you to write and deploy games with the Unity game development platform. You'll master the Unity toolset from the ground up, adding the skills you need to go from application coder to game developer. Foreword by Jesse Schell, author of The Art of Game Design Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Build your next game without sweating the low-level details. The Unity game development platform handles the heavy lifting, so you can focus on game play, graphics, and user experience. With support for C# programming, a huge ecosystem of production-quality prebuilt assets, and a strong dev community, Unity can get your next great game idea off the drawing board and onto the screen! About the Book Unity in Action, Second Edition teaches you to write and deploy games with Unity. As you explore the many interesting examples, you'll get hands-on practice with Unity's intuitive workflow tools and state-of-the-art rendering engine. This practical guide exposes every aspect of the game dev process, from the initial groundwork to creating custom AI scripts and building easy-to-read UIs. And because you asked for it, this totally revised Second Edition includes a new chapter on building 2D platformers with Unity's expanded 2D toolkit. What's Inside Revised for new best practices, updates, and more! 2D and 3D games Characters that run, jump, and bump into things Connect your games to the internet About the Reader You need to know C# or a similar language. No game development knowledge is assumed. About the Author Joe Hocking is a software engineer and Unity expert specializing in interactive media development. Table of Contents PART 1 - First steps Getting to know Unity Building a demo that puts you in 3D space Adding enemies and projectiles to the 3D game Developing graphics for your game PART 2 - Getting comfortable Building a Memory game using Unity's 2D functionality Creating a basic 2D Platformer Putting a GUI onto a game Creating a third-person 3D game: player movement and animation Adding interactive devices and items within the game PART 3 - Strong finish Connecting your game to the internet Playing audio: sound effects and music Putting the parts together into a complete game Deploying your game to players' devices
Book Synopsis Artificial Intelligence and Games by : Georgios N. Yannakakis
Download or read book Artificial Intelligence and Games written by Georgios N. Yannakakis and published by Springer. This book was released on 2018-02-17 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.
