The Theory Of Learning In Games
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The Theory Of Learning In Games
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Author : Drew Fudenberg
language : en
Publisher: MIT Press
Release Date : 1998
The Theory Of Learning In Games written by Drew Fudenberg and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Business & Economics categories.
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.
Game Theory 101
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Author : William Spaniel
language : en
Publisher:
Release Date : 2014
Game Theory 101 written by William Spaniel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Game theory categories.
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
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Author : Fran Blumberg
language : en
Publisher: OUP Us
Release Date : 2014
Learning By Playing written by Fran Blumberg and has been published by OUP Us this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Education categories.
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.
Handbook Of Game Based Learning
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Author : Jan L. Plass
language : en
Publisher: MIT Press
Release Date : 2020-02-04
Handbook Of Game Based Learning written by Jan L. Plass and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-04 with Education categories.
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 Based Learning
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Author : Youngkyun Baek
language : en
Publisher:
Release Date : 2017
Game Based Learning written by Youngkyun Baek and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Education categories.
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.
Teaching Games For Understanding
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Author : Linda L. Griffin
language : en
Publisher: Human Kinetics
Release Date : 2005
Teaching Games For Understanding written by Linda L. Griffin and has been published by Human Kinetics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Education categories.
Presents a comprehensive guide for teachers and coaches that details the history, theory, research, and practice of the Teaching Games for Understanding model, and how to incorporate it in both elementary and secondary curriculum.
Repeated Games With Incomplete Information
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Author : Robert J. Aumann
language : en
Publisher: MIT Press
Release Date : 1995
Repeated Games With Incomplete Information written by Robert J. Aumann and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Business & Economics categories.
The basic model studied throughout the book is one in which players ignorant about the game being played must learn what they can from the actions of the others.
Game Theory And Learning For Wireless Networks
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Author : Samson Lasaulce
language : en
Publisher: Academic Press
Release Date : 2018-11-13
Game Theory And Learning For Wireless Networks written by Samson Lasaulce and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Technology & Engineering categories.
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 Theory And Machine Learning For Cyber Security
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Author : Charles A. Kamhoua
language : en
Publisher: John Wiley & Sons
Release Date : 2021-09-15
Game Theory And Machine Learning For Cyber Security written by Charles A. Kamhoua and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-15 with Technology & Engineering categories.
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.
Bandit Algorithms
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Author : Tor Lattimore
language : en
Publisher: Cambridge University Press
Release Date : 2020-07-16
Bandit Algorithms written by Tor Lattimore and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-16 with Business & Economics categories.
A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.