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Unity artificial intelligence programming fourth edition

Unity Artificial Intelligence Programming Fourth Edition

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Unity Artificial Intelligence Programming - Fourth Edition


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,
Publisher :
Pages : 246
Format Available : PDF, ePub, Mobi
Total Read : 120
Total Download :677
published Date : 2018-11-30
Description :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.

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Unity Artificial Intelligence Programming


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,
Publisher :Packt Publishing Ltd
Pages : 246
Format Available : PDF, ePub, Mobi
Total Read : 41
Total Download :692
published Date : 2018-11-30
Description :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.

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Unity AI Game Programming


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,
Publisher :Packt Publishing Ltd
Pages : 232
Format Available : PDF, ePub, Mobi
Total Read : 172
Total Download :588
published Date : 2015-09-24
Description :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 AI 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. 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 guides In Detail Unity 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 approach An 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.

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Unity 2018 Artificial Intelligence Cookbook


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,Jorge Palacios ,
Publisher :Packt Publishing Ltd
Pages : 334
Format Available : PDF, ePub, Mobi
Total Read : 36
Total Download :831
published Date : 2018-08-28
Description :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.

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Learning C# by Developing Games with Unity 2019


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,Jorge Palacios ,Harrison Ferrone ,
Publisher :Packt Publishing Ltd
Pages : 342
Format Available : PDF, ePub, Mobi
Total Read : 55
Total Download :563
published Date : 2019-03-30
Description :Understand the fundamentals of C# programming and get started with coding from ground up in an engaging and practical manner Key Features Beginner's guide to getting started with software development concepts from a macro level Leverage the power of the latest C# in solving the complex programming problems Learn to script and customize your 3D games and implement animation techniques to make them engaging Book Description Learning to program in today’s technical landscape can be a daunting task, especially when faced with the sheer number of languages you have to choose from. Luckily, Learning C# with Unity 2019 removes the guesswork and starts you off on the path to becoming a confident, and competent, programmer using game development with Unity. You’ll start off small by learning the building blocks of programming, from variables, methods, and conditional statements to classes and object-oriented systems. After you have the basics under your belt you’ll explore the Unity interface, creating C# scripts, and translating your newfound knowledge into simple game mechanics. Throughout this journey, you’ll get hands-on experience with programming best practices and macro-level topics such as manager classes and flexible application architecture. By the end of the book, you’ll be familiar with intermediate C# topics like generics, delegates, and events, setting you up to take on projects of your own. What you will learn Understand programming fundamentals with practice examples in C# Explore the interface and features of Unity 2019 Learn C# programming syntax from scratch Create a game design document and prototype level Explore intermediate programming topics and best practices Implement game mechanics, interactions, and UI elements with C# Who this book is for The book caters to developers and programmers who want to get started with C# programming in a fun and engaging manner. Anyone who wants to build games and script in C# language and Unity can take this book up. No prior programming or Unity experience is required.

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Unity 2017 Game AI Programming - Third Edition


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,Jorge Palacios ,Harrison Ferrone ,Raymundo Barrera ,
Publisher :Packt Publishing Ltd
Pages : 254
Format Available : PDF, ePub, Mobi
Total Read : 58
Total Download :1034
published Date : 2018-01-11
Description :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.

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Unity 2018 By Example


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,Jorge Palacios ,Harrison Ferrone ,Raymundo Barrera ,Alan Thorn ,
Publisher :Packt Publishing Ltd
Pages : 484
Format Available : PDF, ePub, Mobi
Total Read : 170
Total Download :523
published Date : 2018-07-31
Description :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#.

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Hands-On Artificial Intelligence with Unreal Engine


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,Jorge Palacios ,Harrison Ferrone ,Raymundo Barrera ,Alan Thorn ,Francesco Sapio ,
Publisher :Packt Publishing
Pages : 552
Format Available : PDF, ePub, Mobi
Total Read : 145
Total Download :755
published Date : 2019-04-25
Description :Learn to build intelligent and responsive Non-Player Characters for your games with Unreal Engine Game AI. Key Features Understand the built-in AI systems in Unreal Engine for building intelligent games Leverage the power of Unreal Engine 4 programming to create game AI that focuses on motion, animation, and tactics Learn to profile, visualize, and debug your Game AI for checking logic and optimizing performance Book Description Learning how to apply artificial intelligence ( AI ) is crucial and can take the fun factor to the next level, whether you're developing a traditional, educational, or any other kind of game. If you want to use AI to extend the life of your games and make them challenging and more interesting, this book is for you. The book starts by breaking down AI into simple concepts to get a fundamental understanding of it. Using a variety of examples, you will work through actual implementations designed to highlight key concepts and features related to game AI in UE4. You will learn to work through the built-in AI framework in order to build believable characters for every game genre (including RPG, Strategic, Platform, FPS, Simulation, Arcade, and Educational). You will learn to configure the Navigation, Environmental Querying, and Perception systems for your AI agents and couple these with Behavior Trees, all accompanied with practical examples. You will also explore how the engine handles dynamic crowds. In the concluding chapters, you will learn how to profile, visualize, and debug your AI systems to correct the AI logic and increase performance. By the end of the book, your AI knowledge of the built-in AI system in Unreal will be deep and comprehensive, allowing you to build powerful AI agents within your projects. What you will learn Get an in-depth knowledge about all the AI Systems within Unreal Engine Create complex AIs, understanding the art of designing and developing Behavior Tree Learn how to perform Environmental Queries (EQS) Master the Navigation, Perception, and Crowd Systems Profile and Visualize the AI Systems with powerful debugging tools Extend every AI and Debug system with custom nodes and functions Who this book is for Hands-On Artificial Intelligence with Unreal Engine is for you if you are a game developer with a bit experience in Unreal Engine, and now want to understand and implement believable game AI within Unreal Engine. The book will be both in Blueprint and C++, allowing people from every background to enjoy the book. Whether you're looking to build your first game or expand your knowledge to the edge as a Game AI Programmer, you will find plenty of exciting information and examples of game AI in terms of concepts and implementation, including how to extend some of these systems.

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Hands-On Artificial Intelligence for IoT


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,Jorge Palacios ,Harrison Ferrone ,Raymundo Barrera ,Alan Thorn ,Francesco Sapio ,Amita Kapoor ,
Publisher :Packt Publishing Ltd
Pages : 390
Format Available : PDF, ePub, Mobi
Total Read : 135
Total Download :1067
published Date : 2019-01-31
Description :Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Process IoT data and predict outcomes in real time to build smart IoT models Cover practical case studies on industrial IoT, smart cities, and home automation Book Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learn Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras Access and process data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms Forecast time-series data using deep learning methods Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities Gain unique insights from data obtained from wearable devices and smart devices Who this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.

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Playing Smart


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,Jorge Palacios ,Harrison Ferrone ,Raymundo Barrera ,Alan Thorn ,Francesco Sapio ,Amita Kapoor ,Julian Togelius ,
Publisher :MIT Press
Pages : 192
Format Available : PDF, ePub, Mobi
Total Read : 95
Total Download :581
published Date : 2019-01-15
Description :A new vision of the future of games and game design, enabled by AI. Can games measure intelligence? How will artificial intelligence inform games of the future? In Playing Smart, Julian Togelius explores the connections between games and intelligence to offer a new vision of future games and game design. Video games already depend on AI. We use games to test AI algorithms, challenge our thinking, and better understand both natural and artificial intelligence. In the future, Togelius argues, game designers will be able to create smarter games that make us smarter in turn, applying advanced AI to help design games. In this book, he tells us how. Games are the past, present, and future of artificial intelligence. In 1948, Alan Turing, one of the founding fathers of computer science and artificial intelligence, handwrote a program for chess. Today we have IBM's Deep Blue and DeepMind's AlphaGo, and huge efforts go into developing AI that can play such arcade games as Pac-Man. Programmers continue to use games to test and develop AI, creating new benchmarks for AI while also challenging human assumptions and cognitive abilities. Game design is at heart a cognitive science, Togelius reminds us—when we play or design a game, we plan, think spatially, make predictions, move, and assess ourselves and our performance. By studying how we play and design games, Togelius writes, we can better understand how humans and machines think. AI can do more for game design than providing a skillful opponent. We can harness it to build game-playing and game-designing AI agents, enabling a new generation of AI-augmented games. With AI, we can explore new frontiers in learning and play.

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Programming Game AI by Example


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,Jorge Palacios ,Harrison Ferrone ,Raymundo Barrera ,Alan Thorn ,Francesco Sapio ,Amita Kapoor ,Julian Togelius ,Mat Buckland ,
Publisher :Jones & Bartlett Learning
Pages : 495
Format Available : PDF, ePub, Mobi
Total Read : 79
Total Download :777
published Date : 2005
Description :Provides an introduction to AI game techniques used in game programming.

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Artificial Intelligence and Games


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,Jorge Palacios ,Harrison Ferrone ,Raymundo Barrera ,Alan Thorn ,Francesco Sapio ,Amita Kapoor ,Julian Togelius ,Mat Buckland ,Georgios N. Yannakakis ,Julian Togelius ,
Publisher :Springer
Pages : 337
Format Available : PDF, ePub, Mobi
Total Read : 97
Total Download :522
published Date : 2018-02-17
Description :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.

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Odoo 12 Development Essentials


Author :Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Dr. Davide Aversa ,Aung Sithu Kyaw ,Clifford Peters ,Ray Barrera ,Aung Sithu Kyaw ,Clifford Peters ,Thet Naing Swe ,Jorge Palacios ,Harrison Ferrone ,Raymundo Barrera ,Alan Thorn ,Francesco Sapio ,Amita Kapoor ,Julian Togelius ,Mat Buckland ,Georgios N. Yannakakis ,Julian Togelius ,Daniel Reis ,
Publisher :Packt Publishing Ltd
Pages : 404
Format Available : PDF, ePub, Mobi
Total Read : 104
Total Download :528
published Date : 2018-12-28
Description :Extend your skills with Odoo 12 to build resourceful and open source business applications Key Features Explore Odoo 12 capabilities to develop business applications Program business logic and manipulate data to implement specific business rules in your applications Integrate Python APIs for building customizable and scalable business logic Book Description Odoo is one of the best platforms for open source ERP and CRM. Its latest version, Odoo 12, brings with it new features and updates in Python packages to develop more customizable applications with additional cloud capabilities. The book begins by covering the development essentials for building business applications. You will start your journey by learning how to install and configure Odoo, and then transition from having no specific knowledge of Odoo to being ready for application development. You will develop your first Odoo application and understand topics such as models and views. Odoo 12 Development Essentials will also guide you in using server APIs to add business logic, helping you lay a solid foundation for advanced topics. As you progress through the chapters, you will be equipped to build and customize your applications and explore the new features in Odoo 12, such as cloud integration, to scale your business applications. You will get insights into building business logic and integrating various APIs into your application. By the end of the book, you will be able to build a business application from scratch by using the latest version of Odoo. What you will learn Manage Odoo server instances Create a new Odoo application from scratch using the most frequently used elements Develop new models and use inheritance to extend existing models Use ORM methods in the Odoo server and from external clients Create Kanban views using QWeb effectively Build custom web and website CMS pages Use external APIs to integrate Odoo with external applications Add automated tests and techniques to debug module business logic Who this book is for If you are a developer familiar with Python and MVC design and want to build business applications using Odoo, this book is for you.

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