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.

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.

Develop quality game components and solve common gameplay problems with various game design patterns Key Features Become proficient at traditional 2D and 3D game development Build amazing interactive interfaces with Unity's UI system Develop professional games with realistic animation and graphics, materials and cameras, and AI with Unity 2018 Book Description With the help of the Unity 2018 Cookbook, you’ll discover how to make the most of the UI system and understand how to animate both 2D and 3D characters and game scene objects using Unity's Mecanim animation toolsets. Once you’ve got to grips with the basics, you will familiarize yourself with shaders and Shader Graphs, followed by understanding the animation features to enhance your skills in building fantastic games. In addition to this, you will discover AI and navigation techniques for nonplayer character control and later explore Unity 2018’s newly added features to improve your 2D and 3D game development skills. This book provides many Unity C# gameplay scripting techniques. By the end of this book, you'll have gained comprehensive knowledge in game development with Unity 2018. What you will learn Get creative with Unity’s shaders and learn to build your own shaders with the new Shader Graph tool Create a text and image character dialog with the free Fungus Unity plugin Explore new features integrated into Unity 2018, including TextMesh Pro and ProBuilder Master Unity audio, including ducking, reverbing, and matching pitch to animation speeds Work with the new Cinemachine and timeline to intelligently control camera movements Improve ambiance through the use of lights and effects, including reflection and light probes Create stylish user interfaces with the UI system, including power bars and clock displays Who this book is for Unity 2018 Cookbook is for you if you want to explore a wide range of Unity scripting and multimedia features and find ready-to-use solutions for many game features. This book also helps programmers explore multimedia features. It is assumed that you already know basics of Unity and have some programming knowledge of C#.

Used by blockbuster game studios, indie developers, and computer science educators, the Unity Game Engine is one of the world's most popular tools for creating real-time interactive graphics. This volume provides an accessible introduction to the expansive Unity ecosystem through a series of unique activities that illustrate some of the important concepts of game development and real-time graphics programming. In a computer-driven world, these coding skills are useful for not just game development, but also contribute to core computer literacy.

This book comprises high-quality peer-reviewed research papers presented at the 4th International Symposium on Computer Science, Digital Economy and Intelligent Systems (CSDEIS2022), held in Wuhan, China, from November 11–13, 2022, organized jointly by the Wuhan University of Technology, Hubei University of Technology, Wuhan University of Science and Technology, the Polish Operational and Systems Society, and the International Center of Informatics and Computer Science (ICICS). The topics discussed in the book include state-of-the-art papers in computer science and their technological applications; intelligent systems and intellectual approaches; digital economics and educational approaches. It is an excellent source of references for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and its applications in engineering and management.

Newly Edited and Updated Version Master Artificial Intelligence with Unity Without this book, most people spend too long trying to create NPCs (non-player character) that behave like a real person the hard way. This book is the only one that will get you to create intelligent NPCs that can think and make decisions without wasting so much time. It includes six chapters that painlessly teach you the necessary skills to get started and master Artificial Intelligence with Unity and implement key AI techniques that you need to create entertaining games with believable and intelligent NPCs. What you will learn After completing this book, you will be able to create more entertaining and fun games with intelligent and believable NPCs who can: - Follow the player and avoid obstacles. - Follow a specific path, or roam aimlessly. - Detect the player through their senses (e.g., hearing, smell, visions). - Make smart decision based on their state (e.g., health or ammos) to either attack the player, collect ammos and health packs, or flee. - Set-up an ambush to capture the player. - Act as a group (i.e., army) and follow the orders of the player or another NPC leader (e.g., attack the other team or withdraw from the battle) Content of the book The content of the book is as follows: - Chapter 1 shows you how to create NPCs who can follow the player while avoiding obstacles or pre-defined areas (e.g., jump between platforms or avoid water). - In Chapter 2 you will learn how to make your NPCs navigate the level by following set or random paths, or wandering aimlessly. - In Chapter 3 you will add senses to the NPCs so that they can detect the player and take smart decisions accordingly. - In Chapter 4, you will make it possible for the NPCs to take more sensible decisions based on the environment and their own state. For example, NPCs may choose to refill ammunition rather than following the player, or they might decide to look for health packs when their health runs low. - In Chapter 5 you will create two teams; one controlled by the player, and the other once controlled by another NPCs. These two teams will then engage in a battle and both the player and the NPC leader will be able to control their team asking them to attack or withdraw from the battle; - Chapter 6 provides answers to frequently-asked questions. If you want to master Artificial Intelligence with Unity using a tried-and-tested method: download this book now!

Build a high-end, multiplayer role-playing game (RPG) from scratch with C# and Unity 2018 Key Features Get insights into Unity's user interface (UI) system and and build UIs for your RPG Implement artificial intelligence (AI) to build intelligent entities that take your game to the next level Develop multiplayer features for an RPG using Unity 2018 Book Description In a role-playing game (RPG), users control a character, usually in the game's imaginary universe. Unity has become a top choice for developers looking to create these kinds of immersive RPGs. Building an RPG with Unity 2018, based on building some of the most common RPG features, teaches you tips, tricks, and techniques that can be applied to your own game. To start with, the book guides you through the fundamentals of role-playing games. You will learn the necessary aspects of building an RPG, such as structuring the game environment, customizing characters, controlling the camera, and designing other attributes such as inventory and weapons. You will also explore designing game levels by adding more features. Once you have understood the bigger picture, you will understand how to tackle the obstacles of networking in Unity and implement multiplayer mode for your RPG games. By the end of the book, you will be able to build upon the core RPG framework elements to create your own immersive games. What you will learn Construct a framework for inventory, equipment, characters, enemies, quests, and game events Understand how to load and unload scenes and assets Create multiplayer game settings for your RPG Design a UI for user input and feedback Implement AI for non-character players Customize your character at runtime Who this book is for Building an RPG with Unity 2018 is for you if you are a programmer interested in developing and further enhancing your skills when developing RPGs in Unity 2018. This book does not cover the basics of Unity, and so is for intermediate or more advanced users.

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.

Build exciting 2D/3D games and virtual reality applications with the help of hands-on examples Key Features Create five different types of games from scratch with Unity 2018 Import custom content into Unity from third-party tools such as Maya and Blender Learn to build NPCs with artificial intelligent behavior. Book Description Unity is the most exciting and popular engine used for developing games. With its 2018 release, Unity has become the primary source of both game development and virtual reality content. In Unity 2018 By Example, you’ll learn how to use Unity in order to make amazing games from popular genres - from action shooters to mind-bending puzzle games to adventure and Virtual Reality (VR) games. Even if you have no previous experience of using Unity, this book will help you understand the toolsets it provides in depth. In addition to this, you'll understand how to create time-critical collection games, twin-stick space shooters, platformers, and action-fest games with intelligent enemies. Finally, you'll get to grips with creating VR games with the new toolsets introduced by Unity to help you develop amazing VR experiences. To make things easier, you will be provided with step-by-step tutorials for making five great games in Unity 2018, along with a detailed explanation of all the fundamental concepts. By the end of this book, you’ll have established a strong foundation in making games with Unity 2018. What you will learn Understand core Unity concepts, such as game objects, components, and scenes Study level-design techniques for building immersive and interesting worlds Make functional games with C# scripting Use the toolset creatively to build games with different themes and styles Handle player controls and input functionality Work with terrains and world-creation tools Get to grips with making both 2D and 3D games Who this book is for You don't need to have any previous experience with Unity to enjoy Unity 2018 By Example, although you need to have basic knowledge of C#.

Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and Unity Key Features Learn how to apply core machine learning concepts to your games with Unity Learn the Fundamentals of Reinforcement Learning and Q-Learning and apply them to your games Learn How to build multiple asynchronous agents and run them in a training scenario Book Description Unity Machine Learning agents allow researchers and developers to create games and simulations using the Unity Editor, which serves as an environment where intelligent agents can be trained with machine learning methods through a simple-to-use Python API. This book takes you from the basics of Reinforcement and Q Learning to building Deep Recurrent Q-Network agents that cooperate or compete in a multi-agent ecosystem. You will start with the basics of Reinforcement Learning and how to apply it to problems. Then you will learn how to build self-learning advanced neural networks with Python and Keras/TensorFlow. From there you move o n to more advanced training scenarios where you will learn further innovative ways to train your network with A3C, imitation, and curriculum learning models. By the end of the book, you will have learned how to build more complex environments by building a cooperative and competitive multi-agent ecosystem. What you will learn Develop Reinforcement and Deep Reinforcement Learning for games. Understand complex and advanced concepts of reinforcement learning and neural networks Explore various training strategies for cooperative and competitive agent development Adapt the basic script components of Academy, Agent, and Brain to be used with Q Learning. Enhance the Q Learning model with improved training strategies such as Greedy-Epsilon exploration Implement a simple NN with Keras and use it as an external brain in Unity Understand how to add LTSM blocks to an existing DQN Build multiple asynchronous agents and run them in a training scenario Who this book is for This book is intended for developers with an interest in using Machine learning algorithms to develop better games and simulations with Unity. The reader will be required to have a working knowledge of C# and a basic understanding of Python.