Develop and use bots in video gaming to automate game processes and see possible ways to avoid this kind of automation. This book explains how bots can be very helpful in games such as multiplayer online games, both for training your character and for automating repetitious game processes in order to start a competition with human opponents much faster. Some players might use bots for cheating or avoiding game rules to gain an advantage over opponents - a sophisticated form of hacking that includes some elements of artificial intelligence (AI). However, while Practical Video Game Bots considers these topics, it is not a cheater's guide. Rather, this book is an attempt to overcome the information vacuum regarding bot development in video game applications. Through the use of three case study game examples, it covers most methods and technologies that are used by bot developers, and the details of anti-cheating systems. This book provides answers and useful advice for topics such as process automation, reverse engineering, and network applications. Modern bot applications use technologies from all these domains. You will also consider the work mechanisms of different kinds of bots and will write simple prototypes. What You Will Learn Discover bots and apply them to game applications Use clicker bots with OS-level embedding data, output-device capture, and more Develop in-game bots, with process memory analysis and access Work with out-game bots, with network interception and embedding data Deal with input device emulation and OS-level interception data Who This Book Is For Those with some prior experience in game development and coding experience in Python, C++, and Windows APIs.

You don’t need to be a wizard to transform a game you like into a game you love. Imagine if you could give your favorite PC game a more informative heads-up display or instantly collect all that loot from your latest epic battle. Bring your knowledge of Windows-based development and memory management, and Game Hacking will teach you what you need to become a true game hacker. Learn the basics, like reverse engineering, assembly code analysis, programmatic memory manipulation, and code injection, and hone your new skills with hands-on example code and practice binaries. Level up as you learn how to: –Scan and modify memory with Cheat Engine –Explore program structure and execution flow with OllyDbg –Log processes and pinpoint useful data files with Process Monitor –Manipulate control flow through NOPing, hooking, and more –Locate and dissect common game memory structures You’ll even discover the secrets behind common game bots, including: –Extrasensory perception hacks, such as wallhacks and heads-up displays –Responsive hacks, such as autohealers and combo bots –Bots with artificial intelligence, such as cave walkers and automatic looters Game hacking might seem like black magic, but it doesn’t have to be. Once you understand how bots are made, you’ll be better positioned to defend against them in your own games. Journey through the inner workings of PC games with Game Hacking, and leave with a deeper understanding of both game design and computer security.

We share our modern world with bots – chatbots to converse with, roombots to clean our houses, spambots to fill our e-mail inboxes, and medibots to assist our surgeons. This book is about computer game bots, virtual companions who accompany us in virtual worlds or sharpen our fighting skills. These bots must be believable, that is human players should believe they are interacting with entities operating at a human level – bots are more fun if they behave like we do. This book shows how to create believable bots that play computer games, and it discusses the implications of making them appear human. The chapters in this book present the state of the art in research on and development of game bots, and they also look beyond the design aspects to address deep questions: Is a bot that plays like a person intelligent? Does it have emotions? Is it conscious? The topic is inherently interdisciplinary, and the work draws from research and practice in many fields, such as design, creativity, entertainment, and graphics; learning, psychology, and sociology; artificial intelligence, embodiment, agents, machine learning, robotics, human–computer interaction, and artificial life; cognition and neuroscience; and evolutionary computing. The contributing authors are among the leading researchers and developers in this field, and most of the examples and case studies involve analysis of commercial products. The book will be of value to graduate students and academic researchers in artificial intelligence, and to engineers charged with the design of entertaining games.

Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning

Arm yourself with the practical skills and cutting-edge insights necessary to successfully design captivating games across a variety of genres and platforms with the help of this part-color guide Key Features Master the skills, processes, and techniques essential for working in a professional setting Grasp the core principles and processes of level design, world building, and storytelling Design, implement, and refine high-quality features and mechanics for contemporary video games Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIf you’re in search of a cutting-edge actionable guide to game design, your quest ends here! Immerse yourself in the fundamentals of game design with expert guidance from veterans with decades of game design experience across a variety of genres and platforms. The second edition of this book remains dedicated to its original goal of helping you master the fundamentals of game design in a practical manner with the addition of some of the latest trends in game design and a whole lot of fresh, real-world examples from games of the current generation. This update brings a new chapter on games as a service, explaining the evolving role of the game designer and diving deeper into the design of games that are meant to be played forever. From conceptualizing a game idea, you’ll gradually move on to devising a design plan and adapting solutions from existing games, exploring the craft of producing original game mechanics, and eliminating anticipated design risks through testing. You’ll then be introduced to level design, interactive storytelling, user experience and accessibility. By the end of this game design book, you’ll have learned how to wrap up a game ahead of its release date, work through the challenges of designing free-to-play games and games as a service, and significantly improve their quality through iteration, playtesting, and polishing.What you will learn Define the scope and structure of a game project Conceptualize a game idea and present it to others Design gameplay systems and communicate them clearly and thoroughly Build and validate engaging game mechanics Design successful games as a service and prepare them for live operations Improve the quality of a game through playtesting and meticulous polishing Who this book is for Whether you are a student eager to design your very first game or a game designer looking to expand your skill set, this book will help you master the fundamentals of game design across all stages of game development. With a focus on best practices and a pragmatic approach, Practical Game Design offers insights into the art and craft of game design from two senior game designers, with insider knowledge that even veterans will find valuable. While prior experience with game development is not absolutely necessary, having basic knowledge of popular video games will prove helpful.

Discover how all levels Artificial Intelligence (AI) can be present in the most unimaginable scenarios of ordinary lives. This book explores subjects such as neural networks, agents, multi agent systems, supervised learning, and unsupervised learning. These and other topics will be addressed with real world examples, so you can learn fundamental concepts with AI solutions and apply them to your own projects. People tend to talk about AI as something mystical and unrelated to their ordinary life. Practical Artificial Intelligence provides simple explanations and hands on instructions. Rather than focusing on theory and overly scientific language, this book will enable practitioners of all levels to not only learn about AI but implement its practical uses. What You’ll Learn Understand agents and multi agents and how they are incorporated Relate machine learning to real-world problems and see what it means to you Apply supervised and unsupervised learning techniques and methods in the real world Implement reinforcement learning, game programming, simulation, and neural networks Who This Book Is For Computer science students, professionals, and hobbyists interested in AI and its applications.

Academic scholars find themselves confronted with a formidable challenge: staying abreast of the ever-evolving landscape of Artificial Intelligence(AI). The intricate interplay between AI and its profound impact on various facets of society, including customer engagement, remains an enigma for many. This knowledge gap not only hampers their ability to contribute meaningfully to their fields but also leaves them trailing behind the dynamic developments taking place in industries worldwide. As AI continues to reshape the business environment, it becomes imperative for academia to bridge this chasm between theory and practice. Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement is an effective solution to the pressing problem at hand. With meticulous clarity, it unravels the complexities of ChatGPT, an innovative AI technology, and its revolutionary potential in the realm of customer engagement. It offers a lifeline to academic scholars seeking to navigate the uncharted territory of AI, providing them with an in-depth understanding of how ChatGPT can reshape customer interactions.