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.

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.

The video game market continues to increase, reaching millions of users on a variety of platforms and revealing how engaging and pervasive gaming can be. Games create engagement and offer both entertainment and a powerful way to understand and interact with the world. It is natural that educators see the potential of games as a learning tool that can support students who have difficulties learning and also reinvent it. Practical Perspectives on Educational Theory and Game Development is a critical scholarly resource that combines educational scenarios and game fundamentals in order to improve the way people learn and evolve. The book supports professionals with the creation of strategies for using gamification and game-based learning theory with effectiveness and measured results. Featuring a wide range of topics such as entrepreneurship, gamification, and traditional learning, this book is ideal for academicians, education professionals, curriculum designers, educational game developers, researchers, and students.

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.

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

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

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.

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

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.

An introduction to game theory that offers not only theoretical tools but also the intuition and behavioral insights to apply these tools to real-world situations. This introductory text on game theory provides students with both the theoretical tools to analyze situations through the logic of game theory and the intuition and behavioral insights to apply these tools to real-world situations. It is unique among game theory texts in offering a clear, formal introduction to standard game theory while incorporating evidence from experimental data and introducing recent behavioral models. Students will not only learn about incentives, how to represent situations as games, and what agents “should” do in these situations, but they will also be presented with evidence that either confirms the theoretical assumptions or suggests a way in which the theory might be updated. Features: Each chapter begins with a motivating example that can be run as an experiment and ends with a discussion of the behavior in the example. Parts I–IV cover the fundamental “nuts and bolts” of any introductory game theory course, including the theory of games, simple games with simultaneous decision making by players, sequential move games, and incomplete information in simultaneous and sequential move games. Parts V–VII apply the tools developed in previous sections to bargaining, cooperative game theory, market design, social dilemmas, and social choice and voting. Part VIII offers a more in-depth discussion of behavioral game theory models including evolutionary and psychological game theory. Supplemental material on the book’s website include solutions to end-of-chapter exercises, a manual for running each chapter’s experimental games using pencil and paper, and the oTree codes for running the games online.