The Theory of Learning in Games

The Theory of Learning in Games PDF Author: Drew Fudenberg
Publisher: MIT Press
ISBN: 9780262061940
Category : Business & Economics
Languages : en
Pages : 304

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Book Description
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.

The Theory of Learning in Games

The Theory of Learning in Games PDF Author: Drew Fudenberg
Publisher: MIT Press
ISBN: 9780262061940
Category : Business & Economics
Languages : en
Pages : 304

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Book Description
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.

Digital Games and Learning

Digital Games and Learning PDF Author: Nicola Whitton
Publisher: Routledge
ISBN: 1136216448
Category : Education
Languages : en
Pages : 231

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Book Description
In recent years, there has been growing interest in the use of digital games to enhance teaching and learning at all educational levels, from early years through to lifelong learning, in formal and informal settings. The study of games and learning, however, takes a broader view of the relationship between games and learning, and has a diverse multi-disciplinary background. Digital Games and Learning: Research and Theory provides a clear and concise critical theoretical overview of the field of digital games and learning from a cross-disciplinary perspective. Taking into account research and theory from areas as varied as computer science, psychology, education, neuroscience, and game design, this book aims to synthesise work that is relevant to the study of games and learning. It focuses on four aspects of digital games: games as active learning environments, games as motivational tools, games as playgrounds, and games as learning technologies, and explores each of these areas in detail. This book is an essential guide for researchers, designers, teachers, practitioners, and policy makers who want to better understand the relationship between games and learning.

Theory of Fun for Game Design

Theory of Fun for Game Design PDF Author: Raph Koster
Publisher: "O'Reilly Media, Inc."
ISBN: 1932111972
Category : Computers
Languages : en
Pages : 259

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Book Description
Discusses the essential elements in creating a successful game, how playing games and learning are connected, and what makes a game boring or fun.

Game Theory and Learning for Wireless Networks

Game Theory and Learning for Wireless Networks PDF Author: Samson Lasaulce
Publisher: Academic Press
ISBN: 0123846994
Category : Technology & Engineering
Languages : en
Pages : 346

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Book Description
Written by leading experts in the field, Game Theory and Learning for Wireless Networks Covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or medium access control. With the emphasis now on promoting 'green' solutions in the wireless field where power consumption is minimized, there is an added focus on developing network solutions that maximizes the use of the spectrum available. With the growth of distributed wireless networks such as Wi-Fi and the Internet; the push to develop ad hoc and cognitive networks has led to a considerable interest in applying game theory to wireless communication systems. Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students. Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Supélec, Gif-sur-Yvette, France. He is also a part-time professor in the Department of Physics at École Polytechnique, Palaiseau, France. Hamidou Tembine is a professor in the Department of Telecommunications at Supélec, Gif-sur-Yvette, France. Merouane Debbah is a professor at Supélec, Gif-sur-Yvette, France. He is the holder of the Alcatel-Lucent chair in flexible radio since 2007. - The first tutorial style book that gives all the relevant theory, at the right level of rigour, for the wireless communications engineer - Bridges the gap between theory and practice by giving examples and case studies showing how game theory can solve real world resource allocation problems - Contains algorithms and techniques to implement game theory in wireless terminals

Game-based Learning

Game-based Learning PDF Author: Youngkyun Baek
Publisher:
ISBN: 9781536119206
Category : Education
Languages : en
Pages : 468

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Book Description
At a time when digital games are becoming much more commonly used in classrooms, Game-Based Learning: Theory, Strategies, and Performance Outcomes provides a much-needed guide to different forms and applications of digital game-based learning. This book brings together researchers and practitioners from around the world who share their theories, strategies, findings of case studies, and practical approaches to support better performance and learning outcomes when learning with digital games. This book is intended to provide readers with three main parts of information. One is a clear and practical understanding of theory and research-based principles of game-based learning. This first section of the book includes fresh perspectives and an overview of existing and emerging theories in game-based learning, which are also presented in the form of case study findings and implications. The second section of this book gives readers the "how to" information needed to turn the understanding of intellectual grounding into effective practices of digital games for classroom use. The third part of this book also includes some practical approaches for evaluating different aspects of learning within the game-based learning context. This information about practical approaches is presented through chapters on achievements and performance outcomes. Game-Based Learning: Theory, Strategies, and Performance Outcomes synthesizes arguments, practices, and research findings on the effectiveness of different designs and approaches within game-based learning practices. But, a major message of this book is that the joint influence of implementation, context, and learner characteristics interacting with digital games is what determines learning and achievement outcomes. This book is intended for researchers, practitioners, designers, policy makers, and current and future teachers. The teacher/-educator will benefit from topics such as practical strategies to improve student performance, while researchers can use the findings from the case studies presented in this book as a foundation for future explorations and research studies.

Game Theory 101

Game Theory 101 PDF Author: William Spaniel
Publisher:
ISBN: 9781492728153
Category : Game theory
Languages : en
Pages : 273

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Book Description
Game Theory 101: The Complete Textbook is a no-nonsense, games-centered introduction to strategic form (matrix) and extensive form (game tree) games. From the first lesson to the last, this textbook introduces games of increasing complexity and then teaches the game theoretical tools necessary to solve them. Quick, efficient, and to the point, Game Theory 101: The Complete Textbook is perfect for introductory game theory, intermediate microeconomics, and political science.

Learning by Playing

Learning by Playing PDF Author: Fran Blumberg
Publisher: OUP Us
ISBN: 019989664X
Category : Education
Languages : en
Pages : 386

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Book Description
There is a growing recognition in the learning sciences that video games can no longer be seen as impediments to education, but rather, they can be developed to enhance learning. In Learning By Playing, a diverse group of contributors provide perspectives on the most current thinking concerning the ramifications of leisure video game play for academic classroom learning.

Game Theory and Machine Learning for Cyber Security

Game Theory and Machine Learning for Cyber Security PDF Author: Charles A. Kamhoua
Publisher: John Wiley & Sons
ISBN: 1119723949
Category : Technology & Engineering
Languages : en
Pages : 546

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Book Description
GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.

Theory of Fun for Game Design

Theory of Fun for Game Design PDF Author: Raph Koster
Publisher: "O'Reilly Media, Inc."
ISBN: 1449363172
Category : Computers
Languages : en
Pages : 292

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Book Description
Now in full color, the 10th anniversary edition of this classic book takes you deep into the influences that underlie modern video games, and examines the elements they share with traditional games such as checkers. At the heart of his exploration, veteran game designer Raph Koster takes a close look at the concept of fun and why it’s the most vital element in any game. Why do some games become boring quickly, while others remain fun for years? How do games serve as fundamental and powerful learning tools? Whether you’re a game developer, dedicated gamer, or curious observer, this illustrated, fully updated edition helps you understand what drives this major cultural force, and inspires you to take it further. You’ll discover that: Games play into our innate ability to seek patterns and solve puzzles Most successful games are built upon the same elements Slightly more females than males now play games Many games still teach primitive survival skills Fictional dressing for modern games is more developed than the conceptual elements Truly creative designers seldom use other games for inspiration Games are beginning to evolve beyond their prehistoric origins

Handbook of Game-Based Learning

Handbook of Game-Based Learning PDF Author: Jan L. Plass
Publisher: MIT Press
ISBN: 0262356546
Category : Education
Languages : en
Pages : 601

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Book Description
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