Unity 2017 Game Ai Programming Third Edition

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Unity 2017 Game Ai Programming Third Edition

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Author : Raymundo Barrera
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-01-11

Unity 2017 Game Ai Programming Third Edition written by Raymundo Barrera and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-11 with Computers categories.

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.

Unity 2017 Game Ai Programming Third Edition

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Author : Ray Barrera
language : en
Publisher:
Release Date : 2018

Unity 2017 Game Ai Programming Third Edition written by Ray Barrera and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Internet games categories.

Use Unity 2017 to create fun and unbelievable AI entities in your games with A*, Fuzzy logic and NavMesh About This Book 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 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. 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 In Detail 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 ...

Unity 4 X Game Ai Programming

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Author : Aung Sithu Kyaw
language : en
Publisher:
Release Date : 2013

Unity 4 X Game Ai Programming written by Aung Sithu Kyaw and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Artificial intelligence categories.

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.

Unity 3 X Game Development Essentials

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Author : Will Goldstone
language : en
Publisher: Packt Publishing Ltd
Release Date : 2011-12-20

Unity 3 X Game Development Essentials written by Will Goldstone and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-20 with Computers categories.

This book follows an informal, demystifying approach to the world of game development with the Unity game engine. With no prior knowledge of game development or 3D required, you will learn from scratch, taking each concept at a time working up to a full 3D mini-game. You'll learn scripting with C# or JavaScript and master the Unity development environment with easy-to-follow stepwise tasks. If you're a designer or animator who wishes to take their first steps into game development or prototyping, or if you've simply spent many hours sitting in front of video games, with ideas bubbling away in the back of your mind, Unity and this book should be your starting point. No prior knowledge of game production is required, inviting you to simply bring with you a passion for making great games.

Learn Unity Ml Agents Fundamentals Of Unity Machine Learning

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Author : Micheal Lanham
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-30

Learn Unity Ml Agents Fundamentals Of Unity Machine Learning written by Micheal Lanham and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-30 with Computers categories.

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.

Beginning Game Ai With Unity

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Author : Sebastiano M. Cossu
language : en
Publisher: Apress
Release Date : 2020-12-06

Beginning Game Ai With Unity written by Sebastiano M. Cossu and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-06 with Computers categories.

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

Programming Game Ai By Example

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Author : Mat Buckland
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2005

Programming Game Ai By Example written by Mat Buckland and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.

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.

Unity Game Development Essentials

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Author : Will Goldstone
language : en
Publisher: Packt Publishing Ltd
Release Date : 2009-10-01

Unity Game Development Essentials written by Will Goldstone and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-01 with Computers categories.

Build fully functional, professional 3D games with realistic environments, sound, dynamic effects, and more!

Unity Game Optimization

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Author : Dr. Davide Aversa
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-29

Unity Game Optimization written by Dr. Davide Aversa and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Computers categories.

Get up to speed with a series of performance-enhancing coding techniques and methods that will help you improve the performance of your Unity applications Key FeaturesOptimize graphically intensive games using the latest features of Unity such as Entity Component System (ECS) and the Burst compilerExplore techniques for solving performance issues with your VR projectsLearn best practices for project organization to save time through an improved workflowBook Description Unity engine comes with a great set of features to help you build high-performance games. This Unity book is your guide to optimizing various aspects of your game development, from game characters and scripts, right through to animations. You’ll explore techniques for writing better game scripts and learn how to optimize a game using Unity technologies such as ECS and the Burst compiler. The book will also help you manage third-party tooling used with the Unity ecosystem. You’ll also focus on the problems in the performance of large games and virtual reality (VR) projects in Unity, gaining insights into detecting performance issues and performing root cause analysis. As you progress, you’ll discover best practices for your Unity C# script code and get to grips with usage patterns. Later, you’ll be able to optimize audio resources and texture files, along with effectively storing and using resource files. You’ll then delve into the Rendering Pipeline and learn how to identify performance problems in the pipeline. In addition to this, you’ll learn how to optimize the memory and processing unit of Unity. Finally, you’ll cover tips and tricks used by Unity professionals to improve the project workflow. By the end of this book, you’ll have developed the skills you need to build interactive games using Unity and its components. What you will learnApply the Unity Profiler to find bottlenecks in your app, and discover how to resolve themDiscover performance problems that are critical for VR projects and learn how to tackle themEnhance shaders in an accessible way, optimizing them with subtle yet effective performance tweaksUse the physics engine to keep scenes as dynamic as possibleOrganize, filter, and compress art assets to maximize performance while maintaining high qualityUse the Mono framework and C# to implement low-level enhancements that maximize memory usage and prevent garbage collectionWho this book is for The book is intended for intermediate Unity game developers who wants to maximize the performance of their game. The book assumes familiarity with C# programming.

Practical Game Ai Programming

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Author : Micael DaGraça
language : en
Publisher:
Release Date : 2017

Practical Game Ai Programming written by Micael DaGraça and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computers categories.

Jump into the world of Game AI developmentAbout 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 performanceWho This Book Is ForThis 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 crowdIn DetailThe 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 approachThe book has a step-by-step tutorial style approach. The algorithms are explained by implementing them in #.