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Game Theoretic Analysis of Congestion, Safety and Security: Networks, Air Traffic and Emergency Departments (Springer Series in Reliability Engineering)
by Kjell Hausken Jun ZhuangMaximizing reader insights into the roles of intelligent agents in networks, air traffic and emergency departments, this volume focuses on congestion in systems where safety and security are at stake, devoting special attention to applying game theoretic analysis of congestion to: protocols in wired and wireless networks; power generation, air transportation and emergency department overcrowding.Reviewing exhaustively the key recent research into the interactions between game theory, excessive crowding, and safety and security elements, this book establishes a new research angle by illustrating linkages between the different research approaches and serves to lay the foundations for subsequent analysis. Congestion (excessive crowding) is defined in this work as all kinds of flows; e.g., road/sea/air traffic, people, data, information, water, electricity, and organisms. Analysing systems where congestion occurs – which may be in parallel, series, interlinked, or interdependent, with flows one way or both ways – this book puts forward new congestion models, breaking new ground by introducing game theory and safety/security into proceedings.Addressing the multiple actors who may hold different concerns regarding system reliability; e.g. one or several terrorists, a government, various local or regional government agencies, or others with stakes for or against system reliability, this book describes how governments and authorities may have the tools to handle congestion, but that these tools need to be improved whilst additionally ensuring safety and security against various threats.This game-theoretic analysis sets this two volume book apart from the current congestion literature and ensures that the work will be of use to postgraduates, researchers, 3rd/4th-year undergraduates, policy makers, and practitioners.
Game Theoretic Approaches for Spectrum Redistribution (SpringerBriefs in Electrical and Computer Engineering)
by Fan WuThis brief examines issues of spectrum allocation for the limited resources of radio spectrum. It uses a game-theoretic perspective, in which the nodes in the wireless network are rational and always pursue their own objectives. It provides a systematic study of the approaches that can guarantee the system’s convergence at an equilibrium state, in which the system performance is optimal or sub-optimal. The author provides a short tutorial on game theory, explains game-theoretic channel allocation in clique and in multi-hop wireless networks and explores challenges in designing game-theoretic mechanisms for dynamic channel redistribution. Since designing a completely secure mechanism is extremely expensive or impossible in most of distributed autonomous systems, it is more beneficial to study misbehavior of the nodes and develop light-weighted game-theoretic channel allocation mechanisms. With a mix of theoretical and hands-on information, the brief traces the concepts of game theory, the current state of spectrum allocation in wireless networks and future competition for resources. Thorough yet accessible, the content is ideal for researchers and practitioners working on spectrum redistribution. It is also a helpful resource for researchers and advanced-level students interested in game theory and wireless communications.
Game-theoretic Interference Coordination Approaches for Dynamic Spectrum Access (SpringerBriefs in Electrical and Computer Engineering #0)
by Yuhua Xu Anpalagan AlaganWritten by experts in the field, this book is based on recent research findings in dynamic spectrum access for cognitive radio networks. It establishes a game-theoretic framework and presents cutting-edge technologies for distributed interference coordination. With game-theoretic formulation and the designed distributed learning algorithms, it provides insights into the interactions between multiple decision-makers and the converging stable states. Researchers, scientists and engineers in the field of cognitive radio networks will benefit from the book, which provides valuable information, useful methods and practical algorithms for use in emerging 5G wireless communication.
Game Theoretic Risk Analysis of Security Threats (International Series in Operations Research & Management Science #128)
by Vicki M. Bier M. Naceur AzaiezGame Theoretic Risk Analysis of Security Threats introduces reliability and risk analysis in the face of threats by intelligent agents. More specifically, game-theoretic models are developed for identifying optimal and/or equilibrium defense and attack strategies in systems of varying degrees of complexity. The book covers applications to networks, including problems in both telecommunications and transportation. However, the book’s primary focus is to integrate game theory and reliability methodologies into a set of techniques to predict, detect, diminish, and stop intentional attacks at targets that vary in complexity. In this book, Bier and Azaiez highlight work by researchers who combine reliability and risk analysis with game theory methods to create a set of functional tools that can be used to offset intentional, intelligent threats (including threats of terrorism and war). These tools will help to address problems of global security and facilitate more cost-effective defensive investments.
Game Theory: An Introduction (Wiley Series in Operations Research and Management Science)
by E. N. BarronAuthoritative and quantitative approach to modern game theory with applications from areas including economics, political science, computer science, and engineering Game Theory acknowledges the role of mathematics in making logical and advantageous decisions in adversarial situations and provides a balanced treatment of the subject that is both conceptual and applied. This newly updated and revised Third Edition streamlines the text to introduce readers to the basic theories behind games in a less technical but still mathematically rigorous way, with many new real-world examples from various fields of study, including economics, political science, military science, finance, biological science, and general game playing. The text introduces topics like repeated games, Bayesian equilibria, signaling games, bargaining games, evolutionary stable strategies, extensive games, and network and congestion games, which will be of interest across a wide range of disciplines. Separate sections in each chapter illustrate the use of Mathematica and Gambit software to create, analyze, and implement effective decision-making models. A companion website contains the related Mathematica and Gambit data sets and code. Solutions, hints, and methods used to solve most problems to enable self-learning are in an Appendix. Game Theory includes detailed information on: The von Neumann Minimax Theorem and methods for solving any 2-person zero sum matrix game. Two-person nonzero sum games solved for a Nash Equilibrium using nonlinear programming software or a calculus method. Nash Equilibria and Correlated Equilibria. Repeated games and punishment strategies to enforce cooperation Games in Extensive Form for solving Bayesian and perfect information games using Gambit. N-Person nonzero sum games, games with a continuum of strategies and many models in economics applications, duels, auctions, of Nash Equilibria, and the Stable Matching problem Coalitions and characteristic functions of cooperative games, an exact nucleolus for three-player games, bargaining Game theory in evolutionary processes and population games A trusted and proven guide for students of mathematics, engineering, and economics, the Third Edition of Game Theory is also an excellent resource for researchers and practitioners in economics, finance, engineering, operations research, statistics, and computer science.
Game Theory: An Introduction (Wiley Series in Operations Research and Management Science #1)
by E. N. BarronAuthoritative and quantitative approach to modern game theory with applications from areas including economics, political science, computer science, and engineering Game Theory acknowledges the role of mathematics in making logical and advantageous decisions in adversarial situations and provides a balanced treatment of the subject that is both conceptual and applied. This newly updated and revised Third Edition streamlines the text to introduce readers to the basic theories behind games in a less technical but still mathematically rigorous way, with many new real-world examples from various fields of study, including economics, political science, military science, finance, biological science, and general game playing. The text introduces topics like repeated games, Bayesian equilibria, signaling games, bargaining games, evolutionary stable strategies, extensive games, and network and congestion games, which will be of interest across a wide range of disciplines. Separate sections in each chapter illustrate the use of Mathematica and Gambit software to create, analyze, and implement effective decision-making models. A companion website contains the related Mathematica and Gambit data sets and code. Solutions, hints, and methods used to solve most problems to enable self-learning are in an Appendix. Game Theory includes detailed information on: The von Neumann Minimax Theorem and methods for solving any 2-person zero sum matrix game. Two-person nonzero sum games solved for a Nash Equilibrium using nonlinear programming software or a calculus method. Nash Equilibria and Correlated Equilibria. Repeated games and punishment strategies to enforce cooperation Games in Extensive Form for solving Bayesian and perfect information games using Gambit. N-Person nonzero sum games, games with a continuum of strategies and many models in economics applications, duels, auctions, of Nash Equilibria, and the Stable Matching problem Coalitions and characteristic functions of cooperative games, an exact nucleolus for three-player games, bargaining Game theory in evolutionary processes and population games A trusted and proven guide for students of mathematics, engineering, and economics, the Third Edition of Game Theory is also an excellent resource for researchers and practitioners in economics, finance, engineering, operations research, statistics, and computer science.
Game Theory: A Classical Introduction, Mathematical Games, and the Tournament (Synthesis Lectures on Games and Computational Intelligence)
by Andrew McEachernThis book is a formalization of collected notes from an introductory game theory course taught at Queen's University. The course introduced traditional game theory and its formal analysis, but also moved to more modern approaches to game theory, providing a broad introduction to the current state of the discipline. Classical games, like the Prisoner's Dilemma and the Lady and the Tiger, are joined by a procedure for transforming mathematical games into card games. Included is an introduction and brief investigation into mathematical games, including combinatorial games such as Nim. The text examines techniques for creating tournaments, of the sort used in sports, and demonstrates how to obtain tournaments that are as fair as possible with regards to playing on courts. The tournaments are tested as in-class learning events, providing a novel curriculum item. Example tournaments are provided at the end of the book for instructors interested in running a tournament in their own classroom. The book is appropriate as a text or companion text for a one-semester course introducing the theory of games or for students who wish to get a sense of the scope and techniques of the field.
Game Theory and Machine Learning for Cyber Security
by Charles A. Kamhoua Christopher D. Kiekintveld Fei Fang Quanyan ZhuMove 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 persistent and advanced 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.
Game Theory and Machine Learning for Cyber Security
by Charles A. Kamhoua Christopher D. Kiekintveld Fei Fang Quanyan ZhuMove 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 persistent and advanced 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.
Game Theory for Control of Optical Networks (Static & Dynamic Game Theory: Foundations & Applications)
by Lacra PavelOptical networks epitomize complex communication systems, and they comprise the Internet’s infrastructural backbone. The first of its kind, this book develops the mathematical framework needed from a control perspective to tackle various game-theoretical problems in optical networks. In doing so, it aims to help design control algorithms that optimally allocate the resources of these networks. With its fresh problem-solving approach, Game Theory in Optical Networks is a unique resource for researchers, practitioners, and graduate students in applied mathematics and systems/control engineering, as well as those in electrical and computer engineering.
Game Theory for Managing Security in Chemical Industrial Areas (Advanced Sciences and Technologies for Security Applications)
by Laobing Zhang Genserik ReniersThis book systematically studies how game theory can be used to improve security in chemical industrial areas, capturing the intelligent interactions between security managers and potential adversaries. The recent unfortunate terrorist attacks on critical infrastructures show that adversaries are intelligent and strategic. Game theoretic models have been extensively used in some domains to model these strategic adversaries. However, there is a lack of such advanced models to be employed by chemical security managers. In this book, game theoretic models for protecting chemical plants as well as clusters are proposed. Different equilibrium concepts are explored, with user-friendly explanation of how to reflect them to realistic cases. Based on efficient analysis of the properties of security issues in chemical plants/clusters, models in this book are capable to support resources allocations, cost-effectiveness analysis, cooperation incentives and alike.
Game Theory for Networking Applications (EAI/Springer Innovations in Communication and Computing)
by Ju Bin Song Husheng Li Marceau CoupechouxThis book provides recent results of game theory for networking applications. The contributors address the major opportunities and challenges in applying traditional game theory as well as intelligent game theory to the understanding and designing of modern network systems, with emphasis on both new analytical techniques and novel application scenarios. After an overview of game theory for networks, the book narrows in on game theory in communications, game theory in wireless networks, and game theory applications. The book features contributions from researchers and professionals around the world.Presents a variety of perspectives on game theory for networking applications;Shows how game theory can apply to the study of data traffic, new generation networks, and smartgrid;Includes recent results of applied game theory for networks, providing some technical progresses in GAMENETS.
Game Theory for Wireless Communications and Networking
by Yan Zhang Mohsen GuizaniUsed to explain complicated economic behavior for decades, game theory is quickly becoming a tool of choice for those serious about optimizing next generation wireless systems. Illustrating how game theory can effectively address a wide range of issues that until now remained unresolved, Game Theory for Wireless Communications and Networking provid
Game Theory for Wireless Engineers (Synthesis Lectures on Communications)
by Allen B. MacKenzie Luiz A. DaSilvaThe application of mathematical analysis to wireless networks has met with limited success, due to the complexity of mobility and traffic models, coupled with the dynamic topology and the unpredictability of link quality that characterize such networks. The ability to model individual, independent decision makers whose actions potentially affect all other decision makers makes game theory particularly attractive to analyze the performance of ad hoc networks. Game theory is a field of applied mathematics that describes and analyzes interactive decision situations. It consists of a set of analytical tools that predict the outcome of complex interactions among rational entities, where rationality demands a strict adherence to a strategy based on perceived or measured results. In the early to mid-1990's, game theory was applied to networking problems including flow control, congestion control, routing and pricing of Internet services. More recently, there has been growing interest in adopting game-theoretic methods to model today's leading communications and networking issues, including power control and resource sharing in wireless and peer-to-peer networks. This work presents fundamental results in game theory and their application to wireless communications and networking. We discuss normal-form, repeated, and Markov games with examples selected from the literature. We also describe ways in which learning can be modeled in game theory, with direct applications to the emerging field of cognitive radio. Finally, we discuss challenges and limitations in the application of game theory to the analysis of wireless systems. We do not assume familiarity with game theory. We introduce major game theoretic models and discuss applications of game theory including medium access, routing, energy-efficient protocols, and others. We seek to provide the reader with a foundational understanding of the current research on game theory applied to wireless communications and networking.
Game Theory in Communication Networks: Cooperative Resolution of Interactive Networking Scenarios
by Josephina Antoniou Andreas PitsillidesA mathematical tool for scientists and researchers who work with computer and communication networks, Game Theory in Communication Networks: Cooperative Resolution of Interactive Networking Scenarios addresses the question of how to promote cooperative behavior in interactive situations between heterogeneous entities in communication networkin
Game Theory, the Internet of Things and 5G Networks: Utilizing Game Theoretic Models to Characterize Challenging Scenarios (EAI/Springer Innovations in Communication and Computing)
by Josephina AntoniouThis book shows how to model selected communication scenarios using game theory. The book helps researchers specifically dealing with scenarios motivated by the increasing use of the Internet of Things (IoT) and 5G Communications by using game theory to approach the study of such challenging scenarios. The author explains how game theory acts as a mathematical tool that models decision making in terms of strategies and mechanisms that can result in optimal payoffs for a number of interacting entities, offering often antagonistic behaviors. The book explores new technologies in terms of design, development and management from a theoretical perspective, using game theory to analyze strategic situations and demonstrate profitable behaviors of the cooperative entities. The book identifies and explores several significant applications/uses/situations that arise from the vast deployment of the IoT. The presentation of the technological scenarios is followed in each of the first four chapters by a step-by-step theoretical model often followed by equilibrium proof, and numerical simulation results, that are explained in a tutorial-like manner. The four chapters tackle challenging IoT and 5G related issues, including: new security threats that IoT brings, e.g. botnets, ad hoc vehicular networks and the need for trust in vehicular communications, content repetition by offloading traffic onto mobile users, as well as issues due to new wearable devices that enable data collection to become more intrusive.
Gamechanger AI: How Artificial Intelligence is Transforming our World
by Klaus HenningArtificial intelligence changes everything. This book encourages readers to consider the challenges of the digital transformation driven by Artificial Intelligence. The reader will discover why this transformation is to be regarded as the greatest cultural revolution since the invention of mass printing and how it can be shaped positively in a value-oriented way. The author pursues the thesis that intelligent objects on the internet, as well as physical objects, are attaining their own consciousness. Using many examples, he shows how these digital companions become our digital partners. This non-fiction book provides many suggestions for one's own living and working environment and is full of examples of how artificial intelligence systems can be implemented. The reader learns what is already possible today and what can be expected in the next ten to twenty years. The book is of interest to anyone interested in AI and the digital transformation - from those responsible in companies, public institutions, and in politics, to all teachers and parents who want to understand what the next generation can expect.
Gameful Second and Foreign Language Teaching and Learning: Theory, Research, and Practice (New Language Learning and Teaching Environments)
by Jonathon ReinhardtThis book offers a comprehensive examination of the theory, research, and practice of the use of digital games in second and foreign language teaching and learning (L2TL). It explores how to harness the enthusiasm, engagement, and motivation that digital gaming can inspire by adopting a gameful L2TL approach that encompasses game-enhanced, game-informed, and game-based practice. The first part of the book situates gameful L2TL in the global practices of informal learnful L2 gaming and in the theories of play and games which are then applied throughout the discussion of gameful L2TL practice that follows. This includes analysis of practices of digital game-enhanced L2TL design (the use of vernacular, commercial games), game-informed L2TL design (gamification and the general application of gameful principles to L2 pedagogy), and game-based L2TL design (the creation of digital games purposed for L2 learning). Designed as a guide for researchers and teachers, the book also offers fresh insights for scholars of applied linguistics, second language acquisition, L2 pedagogy, computer-assisted language learning (CALL), game studies, and game design that will open pathways to future developments in the field.
Games and Ethics: Theoretical and Empirical Approaches to Ethical Questions in Digital Game Cultures (Digitale Kultur und Kommunikation #7)
by Maike Groen Nina Kiel Angela Tillmann André WeßelThe number of digital gamers is increasing worldwide, but public debates about digital games commonly focus on questionable game content or problematic gaming behavior. This book offers a broader ethical perspective on digital game cultures, presenting theoretical and empirical work on the ethical dimensions of the development, production and distribution of digital games, as well as issues relating to responsible gaming and the pedagogical use of digital games. Questions of the communicative-cultural change in game cultures are linked with questions of media education and media ethics. With such a comprehensive approach, the volume promotes ethical discourse on digital game cultures.
Games and Learning Alliance: 5th International Conference, GALA 2016, Utrecht, The Netherlands, December 5–7, 2016, Proceedings (Lecture Notes in Computer Science #10056)
by Rosa Bottino Johan Jeuring Remco C. VeltkampThis book constitutes the refereed proceedings of the 5th International Conference on Games and Learning Alliance, GALA 2016, held in Utrecht, The Netherlands, in December 2016. The 27 revised regular papers presented together with 14 poster papers were carefully reviewed and selected from 55 submissions. The papers cover topics such as games and sustainability; games for math and programming; games and health; games and soft skills; games and management; games and learning; game development and assessment; and mobile games.
Games and Learning Alliance: 6th International Conference, GALA 2017, Lisbon, Portugal, December 5–7, 2017, Proceedings (Lecture Notes in Computer Science #10653)
by João Dias Pedro A. Santos Remco C. VeltkampThis book constitutes the refereed proceedings of the 6th International Conference on Games and Learning Alliance, GALA 2017, held in Lisbon, Portugal, in December 2017. The 16 revised regular papers presented together with 6 poster papers were carefully reviewed and selected from 45 submissions. The papers cover topics such as games in education and training; games for health and special children; augmented and virtual reality; methods and tools (for desing and development); and poster abstracts.
Games and Learning Alliance: 12th International Conference, GALA 2023, Dublin, Ireland, November 29 – December 1, 2023, Proceedings (Lecture Notes in Computer Science #14475)
by Pierpaolo Dondio Mariana Rocha Attracta Brennan Avo Schönbohm Francesca De Rosa Antti Koskinen Francesco BellottiThis LNCS volume constitutes the proceedings of 12th International Conference, GALA 2023, in Dublin, Ireland, held during November/December 2023. The 36 full papers and 13 short papers were carefully reviewed and selected from 88 submissions. The papers contained in this book have been organized into six categories, reflecting the variety of theoretical approaches and application domains of research into serious games: 1. The Serious Games and Game Design2. User experience, User Evaluation and User Analysis in Serious Games3. Serious Games for Instruction4. Serious Games for Health, Wellbeing and Social Change5. Evaluating and Assessing Serious Games Elements6. Posters
Games and Learning Alliance: 7th International Conference, GALA 2018, Palermo, Italy, December 5–7, 2018, Proceedings (Lecture Notes in Computer Science #11385)
by Manuel Gentile Mario Allegra Heinrich SöbkeThis book constitutes the refereed proceedings of the 7th International Conference on Games and Learning Alliance, GALA 2018, held in Palermo, Italy, in December 2018.The 38 revised regular papers presented together with 9 poster papers were carefully reviewed and selected from 68 submissions. The papers cover the following topics: games for skills training; game design; methods and tools; gamification and innovative game approaches.
Games and Learning Alliance: Second International Conference, GALA 2013, Paris, France, October 23-25, 2013, Revised Selected Papers (Lecture Notes in Computer Science #8605)
by Alessandro De GloriaThis book constitutes the refereed proceedings of the Second International Conference on Games and Learning Alliance, GALA 2013, held in Paris, France, in October 2013.The 25 revised papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers advance the state of the art in the technologies and knowledge available to support development and deployment of serious games. They are organized in 3 research tracks on design, technology and application. Also included is the outcome of a GALA workshop on a widely applied instructional design model: 4C-ID.
Games and Learning Alliance: Third International Conference, GALA 2014, Bucharest, Romania, July 2-4, 2014, Revised Selected Papers (Lecture Notes in Computer Science #9221)
by Alessandro De GloriaThis book constitutes the refereed proceedings of the Third International Conference on Games and Learning Alliance, GALA 2014, held in Bucharest, Romania, in July 2014. The 15 revised papers presented were carefully reviewed and selected from 26 submissions. The papers presented cover a variety of aspects and knowledge fields. They are grouped into four sessions: pedagogy, technology, design, and applications.