Conferences related to Game Theory

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2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2019 IEEE 58th Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).


2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2019 IEEE International Symposium on Information Theory (ISIT)

Information theory and coding theory and their applications in communications and storage, data compression, wireless communications and networks, cryptography and security, information theory and statistics, detection and estimation, signal processing, big data analytics, pattern recognition and learning, compressive sensing and sparsity, complexity and computation theory, Shannon theory, quantum information and coding theory, emerging applications of information theory, information theory in biology.


2019 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


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Periodicals related to Game Theory

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


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Most published Xplore authors for Game Theory

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Xplore Articles related to Game Theory

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Does Game Theory Work?

[{u'author_order': 1, u'affiliation': u'University of Oxford', u'authorUrl': u'https://ieeexplore.ieee.org/author/37285003500', u'full_name': u'Michael Wooldridge', u'id': 37285003500}] IEEE Intelligent Systems, 2012

Given the current level of international interest in game theory and its applications in AI and computer science, it seems worth pausing to consider whether game theory actually works. This article considers the evidence available in support of the two most common interpretations of game theory: the descriptive interpretation, which considers game theory as trying to predict actual behavior, and ...


Game Theory: Models, Numerical Methods and Applications

[{u'author_order': 1, u'full_name': u'Dario Bauso'}] Game Theory: Models, Numerical Methods and Applications, None

This monograph provides the reader with a comprehensive overview of game theory covering the foundations of the theory of noncooperative and cooperative games, both static and dynamic. It also highlights new trends in cooperative differential games, learning, approachability (games with vector payoffs) and mean-field games (large number of homogeneous players). Based on courses given at the University of Oxford and ...


Based on M's Commodities Fleeing of game theory

[{u'author_order': 1, u'affiliation': u'School of Management, Sichuan University, Chengdu City 610064, China', u'full_name': u'Lei Zhao'}, {u'author_order': 2, u'affiliation': u'School of Management, Sichuan University, Chengdu City 610064, China', u'full_name': u'Sheng Zhong'}, {u'author_order': 3, u'affiliation': u'Statistics School, Southwestern University of Finance and Economics, Chengdu City, 611130, China', u'full_name': u'Yingsheng Su'}] Proceedings of the 29th Chinese Control Conference, 2010

Commodities Fleeing found in a wide range of distribution channels. Its existence has been severely affected companies to the healthy development of distribution channels. Through the M's specific conditions, using game theory methods to analyze this phenomenon, based on this put forward a number of measures to effectively circumvent the Commodities Fleeing.


Research on Network Manufacturing Alliance Coordination Model Based on Non-homogeneous, Dynamic, and Multi-stage Game Theory

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37395866000', u'full_name': u'Zhu Aimin', u'id': 37395866000}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37391390100', u'full_name': u'Zhang Xiaoyu', u'id': 37391390100}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37409879100', u'full_name': u'Lu Xi', u'id': 37409879100}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37395867100', u'full_name': u'Yu Lijuan', u'id': 37395867100}] 2009 International Forum on Computer Science-Technology and Applications, 2009

Although resource-centered and capability-centered network manufacturing alliance has been paid attention at home and abroad, its success rate is low. Non-homogeneous, multi-stage and dynamic game theory is one kind of advanced research methods, but it never be used in studying coordination model to improve the success rate of network manufacturing alliance. On the basis of this dynamic and systematic game ...


An Introductory Review on Quantum Game Theory

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37405583900', u'full_name': u'Wenjie Liu', u'id': 37405583900}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37405241500', u'full_name': u'Jingfa liu', u'id': 37405241500}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37846754700', u'full_name': u'Mengmeng Cui', u'id': 37846754700}, {u'author_order': 4, u'authorUrl': u'https://ieeexplore.ieee.org/author/37853569000', u'full_name': u'Ming He', u'id': 37853569000}] 2010 Fourth International Conference on Genetic and Evolutionary Computing, 2010

With utilizing some quantum mechanism into the game theory, quantum game theory provides us with the ability to achieve results not otherwise possible. In this paper, a brief overview of classical game theory and some game- theoretic terms are depicted. Then, an introduction to quantum theory is presented as well as some correlative works in this field. Finally, some well- ...


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Educational Resources on Game Theory

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eLearning

No eLearning Articles are currently tagged "Game Theory"

IEEE-USA E-Books

  • Game Theory: Models, Numerical Methods and Applications

    This monograph provides the reader with a comprehensive overview of game theory covering the foundations of the theory of noncooperative and cooperative games, both static and dynamic. It also highlights new trends in cooperative differential games, learning, approachability (games with vector payoffs) and mean-field games (large number of homogeneous players). Based on courses given at the University of Oxford and Imperial College London, this work emphasizes theoretical foundations, mathematical tools, modeling, and equilibrium notions in different environments. The author uses a tutorial style to illustrate the major points so that the reader can quickly grasp the basics of each concept. The comprehensive reference list enables further research. This is the first tutorial to give such a concise and accessible introduction to the subject. It will be of use to all students, practitioners, and researchers looking to understand the basic concepts, models, and applications of game theory.

  • Game Theory for Wireless Engineers

    The 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: A Classical Introduction, Mathematical Games, and the Tournament

    This 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.

  • Essentials of Game Theory: A Concise Multidisciplinary Introduction

    Game theory is the mathematical study of interaction among independent, self- interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short introduction to the field covering the common basis that anyone with a professional interest in game theory is likely to require. Such a text would minimize notation, ruthlessly focus on essentials, and yet not sacrifice rigor. This Synthesis Lecture aims to fill this gap by providing a concise and accessible introduction to the field. It covers the main classes of games, their representations, and the main concepts used to analyze them.

  • Game Theory for Data Science: Eliciting Truthful Information

    Intelligent systems often depend on data provided by information agents, for example, sensor data or crowdsourced human computation. Providing accurate and relevant data requires costly effort that agents may not always be willing to provide. Thus, it becomes important not only to verify the correctness of data, but also to provide incentives so that agents that provide high-quality data are rewarded while those that do not are discouraged by low rewards. We cover different settings and the assumptions they admit, including sensing, human computation, peer grading, reviews, and predictions. We survey different incentive mechanisms, including proper scoring rules, prediction markets and peer prediction, Bayesian Truth Serum, Peer Truth Serum, Correlated Agreement, and the settings where each of them would be suitable. As an alternative, we also consider reputation mechanisms. We complement the game-theoretic analysis with practical examples of applications in prediction platforms, community sensing, and peer grading.

  • Computational Aspects of Cooperative Game Theory

    Cooperative game theory is a branch of (micro-)economics that studies the behavior of self-interested agents in strategic settings where binding agreements among agents are possible. Our aim in this book is to present a survey of work on the computational aspects of cooperative game theory. We begin by formally defining transferable utility games in characteristic function form, and introducing key solution concepts such as the core and the Shapley value. We then discuss two major issues that arise when considering such games from a computational perspective: identifying compact representations for games, and the closely related problem of efficiently computing solution concepts for games. We survey several formalisms for cooperative games that have been proposed in the literature, including, for example, cooperative games defined on networks, as well as general compact representation schemes such as MC-nets and skill games. As a detailed case study, we consider weighted voting games: a widely-used and practically important class of cooperative games that inherently have a natural compact representation. We investigate the complexity of solution concepts for such games, and generalizations of them. We briefly discuss games with non- transferable utility and partition function games. We then overview algorithms for identifying welfare-maximizing coalition structures and methods used by rational agents to form coalitions (even under uncertainty), including bargaining algorithms. We conclude by considering some developing topics, applications, and future research directions.

  • Game Theory

    This chapter provides a brief account of game theory. Game theory is divided into two major branches: noncooperative games and cooperative games. Noncooperative game theory deals with scenarios, in which players compete against each other and selfishly pursue their own interests that are conflicting with other players' interests. Cooperative game theory addresses the formation of cooperative groups of players, called coalitions. Some of the classes of games are static games, dynamic games, one‐shot games, repeated games, games with complete information, games with incomplete information, games with perfect information and games with imperfect information. In game theory, the Nash equilibrium is considered as a concept of fundamental importance. A radio‐scene analysis mechanism is implemented based on a cooperative game for spectrum sensing, dynamic spectrum management. It is benefited from minority games to encourage radios to choose channels with lower levels of interference, and noncooperative games provides the required framework for transmit power control.

  • Appendix E: Game Theory Concepts

    Appendix E presents the theoretical aspects of the game theory that are followed by participants in a restructured energy market.

  • Hybrid Electric Vehicle Energy Management Using Game Theory (2008-01-1317)

    The topic of energy management in Hybrid Electric Vehicles (HEVs) has received a great deal of recent attention. Various methods have been proposed to develop algorithms which manage energy flows within HEVs so that to optimally exploit energy storage capability of the battery and reduce fuel consumption while maintaining battery State of Charge. In addition, to the rule-based approaches, systematic optimal control methods based on deterministic and stochastic dynamic programming have been explored for HEV energy management optimization. In this paper, another novel framework based on the application of game theory is proposed, in which the HEV operation is viewed as a non- cooperative game between the driver and the powertrain. The paper illustrates the development of a game theory solution for HEV energy management and compares the approach with the rule-based and dynamic programming based methods in terms of the design procedure, fuel consumption, computational effort to construct the solution and implementability.

  • Competition and Cooperative Bargaining Models in Supply Chains

    Competition and Cooperative Bargaining Models in Supply Chains reveals that cooperation between firms in a supply chain can improve the overall profit of the supply chain. It provides an overview of the basic multi-firm models studied in supply chain management. The authors look at how the literature uses non-cooperative game theory to analyze these models and considers how some of these models can be analyzed using a cooperative bargaining framework. This monograph compares the modeling tools and the insights obtained by taking this two-fold approach. The authors discuss a few topics of key interest including the relative channel power of a firm and the relative merits of using a non-cooperative game versus cooperative bargaining to model a supply chain setting. This monograph concludes by exploring some issues that remain unresolved and are topics for future research.



Standards related to Game Theory

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No standards are currently tagged "Game Theory"