[PDF] Learning The Game eBook

Author : Jonathan Kohlmeier
Publisher : Lulu.com
Page : 206 pages
File Size : 40,45 MB
Release : 2016-10-11
Category : Biography & Autobiography
ISBN : 1483459128

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Everyone has fears. A fear of the dark, a fear of heights, or even a fear of the unknown can make leading an otherwise normal life difficult. But what if you were afraid not of the dark or of heights-but of other people? What if you were overcome with paralyzing terror and even pushed to the brink of sickness each time you talked with another person-even though you wanted more than anything to be with and enjoy the company of that person? In Learning to Play the Game: My Journey through Silence, author Jonathan Kohlmeier shares a coming-of-age memoir of his young life living with selective mutism-an extreme form of social anxiety. At first as a child being so afraid that he could barely speak outside of the home, Jon's story of struggle turns triumph as he is eventually able to join the debate team in high school. From the start of his journey in kindergarten to his high school graduation, Jon chronicles his desire to be "normal"-whatever that means. 2018 Next Generation Indie Book Awards Finalist

Author : Kevin Waltman
Publisher : Turtleback Books
Page : 217 pages
File Size : 21,66 MB
Release : 2006-10-01
Category : Juvenile Fiction
ISBN : 9781417762262

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For use in schools and libraries only. When he and his high-school basketball teammates steal from a fraternity house in their small Indiana town, Nate contends with his guilt, his loyalty to his friends, and his desire to help his older brother who comes under suspicion for the crime.

Author : Drew Fudenberg
Publisher : MIT Press
Page : 304 pages
File Size : 27,50 MB
Release : 1998
Category : Business & Economics
ISBN : 9780262061940

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This work explains that equilibrium is the long-run outcome of a process in which non-fully rational players search for optimality over time. The models they e×plore provide a foundation for equilibrium theory and suggest ways for economists to evaluate and modify traditional equilibrium concepts.

Author : Kevin Ferguson
Publisher : Simon and Schuster
Page : 611 pages
File Size : 45,24 MB
Release : 2019-01-06
Category : Computers
ISBN : 1638354014

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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

Author : Spencer Leigh
Publisher : McNidder and Grace
Page : 384 pages
File Size : 39,42 MB
Release : 2018-11-05
Category : Rock musicians
ISBN : 9780857161888

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Definitive account of Buddy Holly's life and career published to coincide with 60th anniversary of his death.

Author : Alison M. Phipps
Publisher : Multilingual Matters
Page : 214 pages
File Size : 34,90 MB
Release : 2006-01-01
Category : Language Arts & Disciplines
ISBN : 184541053X

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Telling the stories of the experience of learning and speaking tourist languages, this book takes the reader on a journey through risk, way finding, mistakes, laughter, conversations and the imagination. It provides descriptions of the world of language learning. It examines what happens when tourists learn to speak other languages.

Author : Katie Salen Tekinbas
Publisher : MIT Press
Page : 955 pages
File Size : 15,99 MB
Release : 2005-11-23
Category : Computers
ISBN : 0262195364

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Classic and cutting-edge writings on games, spanning nearly 50 years of game analysis and criticism, by game designers, game journalists, game fans, folklorists, sociologists, and media theorists. The Game Design Reader is a one-of-a-kind collection on game design and criticism, from classic scholarly essays to cutting-edge case studies. A companion work to Katie Salen and Eric Zimmerman's textbook Rules of Play: Game Design Fundamentals, The Game Design Reader is a classroom sourcebook, a reference for working game developers, and a great read for game fans and players. Thirty-two essays by game designers, game critics, game fans, philosophers, anthropologists, media theorists, and others consider fundamental questions: What are games and how are they designed? How do games interact with culture at large? What critical approaches can game designers take to create game stories, game spaces, game communities, and new forms of play? Salen and Zimmerman have collected seminal writings that span 50 years to offer a stunning array of perspectives. Game journalists express the rhythms of game play, sociologists tackle topics such as role-playing in vast virtual worlds, players rant and rave, and game designers describe the sweat and tears of bringing a game to market. Each text acts as a springboard for discussion, a potential class assignment, and a source of inspiration. The book is organized around fourteen topics, from The Player Experience to The Game Design Process, from Games and Narrative to Cultural Representation. Each topic, introduced with a short essay by Salen and Zimmerman, covers ideas and research fundamental to the study of games, and points to relevant texts within the Reader. Visual essays between book sections act as counterpoint to the writings. Like Rules of Play, The Game Design Reader is an intelligent and playful book. An invaluable resource for professionals and a unique introduction for those new to the field, The Game Design Reader is essential reading for anyone who takes games seriously.

Author : Aske Plaat
Publisher : Springer Nature
Page : 330 pages
File Size : 24,74 MB
Release : 2020-12-23
Category : Computers
ISBN : 3030592383

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In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.

Author : Drumhiller, Nicole K.
Publisher : IGI Global
Page : 290 pages
File Size : 33,42 MB
Release : 2021-04-02
Category : Technology & Engineering
ISBN : 1799840883

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Simulation and game-based learning are essential applications in a learning environment as they provide learners an opportunity to apply the course material in real-life scenarios. Introducing real-life learning allows the learner to make critical decisions at different points within the simulation providing constructive education that leads to a cognitive understanding of the material. The use of simulations provides the learner with the ability to cognitively store and recall learning in real-life experiences. Therefore, it is crucial to not only provide course material but to have students apply what they have learned in simulations that replicate real-life scenarios. These learned skills are essential for students to be marketable and thrive in a career field where decision making, problem solving, and critical thinking are job requirements. Simulation and Game-Based Learning in Emergency and Disaster Management is a cutting-edge research book that examines the best practices and holistic development when it comes to simulation learning within emergency and disaster management as well as global security. Drawing upon the neuroscience of learning, classroom instruction can be enhanced to incorporate active-experiential learning activities that positively impact a learner with long-term information retention. Each simulation project is carried out in different environments, with different goals in mind, and developed under various constraints. For these reasons, this book will provide insight into the simulation planning and development process, provide examples of online simulations and game-based learning activities, and provide insight on simulation development and implementation that can be used across disciplines in educational and training settings. As such, it is ideal for academicians, instructional designers, curriculum designers, education professionals, researchers, and students.

Author : Jan L. Plass
Publisher : MIT Press
Page : 601 pages
File Size : 29,94 MB
Release : 2020-02-04
Category : Education
ISBN : 0262356546

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A comprehensive introduction to the latest research and theory on learning and instruction with computer games. This book offers a comprehensive introduction to the latest research on learning and instruction with computer games. Unlike other books on the topic, which emphasize game development or best practices, Handbook of Game-Based Learning is based on empirical findings and grounded in psychological and learning sciences theory. The contributors, all leading researchers in the field, offer a range of perspectives, including cognitive, motivational, affective, and sociocultural. They explore research on whether (and how) computer games can help students learn educational content and academic skills; which game features (including feedback, incentives, adaptivity, narrative theme, and game mechanics) can improve the instructional effectiveness of these games; and applications, including games for learning in STEM disciplines, for training cognitive skills, for workforce learning, and for assessment. The Handbook offers an indispensable reference both for readers with practical interests in designing or selecting effective game-based learning environments and for scholars who conduct or evaluate research in the field. It can also be used in courses related to play, cognition, motivation, affect, instruction, and technology. Contributors Roger Azevedo, Ryan S. Baker, Daphne Bavelier, Amanda E. Bradbury, Ruth C. Clark, Michele D. Dickey, Hamadi Henderson, Bruce D. Homer, Fengfeng Ke, Younsu Kim, Charles E. Kinzer, Eric Klopfer, James C. Lester, Kristina Loderer, Richard E. Mayer, Bradford W. Mott, Nicholas V. Mudrick, Brian Nelson, Frank Nguyen, V. Elizabeth Owen, Shashank Pawar, Reinhard Pekrun, Jan L. Plass, Charles Raffale, Jonathon Reinhardt, C. Scott Rigby, Jonathan P. Rowe, Richard M. Ryan, Ruth N. Schwartz, Quinnipiac Valerie J. Shute, Randall D. Spain, Constance Steinkuehler, Frankie Tam, Michelle Taub, Meredith Thompson, Steven L. Thorne, A. M. Tsaasan