Requiring no more than basic arithmetic, this book provides a careful and accessible introduction to the basic pillars of Game Theory, tracing its intellectual origins and philosophical premises.

This book presents the huge variety of current contributions of game theory to economics. The impressive contributions fall broadly into two categories. Some lay out in a jargon free manner a particular branch of the theory, the evolution of one of its concepts, or a problem, that runs through its development. Others are original pieces of work tha

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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

This book constitutes the refereed proceedings of the 7th EAI International Conference on Game Theory for Networks, GameNets 2017, held in Knoxville, Tennessee, USA, in May 2017. The 10 conference papers and 5 invited papers presented cover topics such as smart electric grid, Internet of Things (IoT), social networks, networks security, mobile service markets, and epidemic control.

This collection of essays was the first major attempt to apply game theory, linear programming, and graph theory to anthropological data. Contributors: John Atkins; Ira B. Buchler; Albert M. Chammah; Luke Curtis; Walter Goldschmidt; Hans Hoffman; Robert Kozelka; Bernhardt Lieberman; Frank B. Livingstone; R. Michael McKinlay; Anatol Rapoport; Richard F. Salisbury; T. C. Schelling; M. Shubik; and Martin Southwold.

To make the best decisions, you need the best information. However, because most issues in game theory are grey, nearly all recent research has been carried out using a simplified method that considers grey systems as white ones. This often results in a forecasting function that is far from satisfactory when applied to many real situations. Grey Ga

This unique book presents decision analysis in the context of mathematical modeling and game theory. The author emphasizes and focuses on the model formulation and modeling-building skills required for decision analysis, as well as the technology to support the analysis. The primary objective of Decision Analysis through Modeling and Game Theory is illustrative in nature. It sets the tone through the introduction to mathematical modeling. The text provides a process for formally thinking about the problem and illustrates many scenarios and illustrative examples. These techniques and this approach center on the fact (a) decision makers at all levels must be exposed to the tools and techniques available to help them in the decision process, (b) decision makers as well as analysts need to have and use technology to assist in the entire analysis process, (c) the interpretation and explanation of the results are crucial to understanding the strengths and limitations of modeling, and (d) the interpretation and use of sensitivity analysis is essential. The book begins with a look at decision-making methods, including probability and statistics methods under risk of uncertainty. It moves to linear programming and multi-attribute decision-making methods with a discussion of weighting methods. Game theory is introduced through conflict games and zero-sum or constant-sum games. Nash equilibriums are next, followed by utility theory. Evolutionary stable strategies lead to Nash arbitration and cooperation methods and N-person methods presented for both total and partial conflict games. Several real-life examples and case studies using game theory are used throughout. This book would be best used for a senior-level course in mathematics, operations research, or graduate-level courses or decision modeling courses offered in business schools. The book will be of interest to departments offering mathematical modeling courses with any emphasis on modeling for decision making.

Random SALOHA and CSMA protocols that are used to access MAC in ad hoc networks are very small compared to the multiple and spontaneous use of the transmission channel. So they have low immunity to the problems of packet collisions. Indeed, the transmission time is the critical factor in the operation of such networks. The simulations demonstrate the positive impact of erasure codes on the throughput of the transmission in ad hoc networks. However, the network still suffers from the intermittency and volatility of its efficiency throughout its operation, and it switches quickly to the saturation zone. In this context, game theory has demonstrated his ability to lead the network to a more efficient equilibrium. This, we were led to propose our model code set that formalizes the behavior of nodes during transmission within SALOHA networks and CSMA respectively.

Do you feel as if your work life is not quite as productive as it could be? You go to work every day, but you feel like your business is absolutely not booming? Trust me, I know how that feels, and I know that this is the book that will change your career for the better! In this book, I talk about game theory for business, a proven strategic method that really works. You can use game theory to boost your work life permanently, and learn how to make good decisions that will benefit you—something that everyone should know how to do. In this book, you’ll learn: An introduction to the basic concepts of game theory A brief history of game theory Nash equilibrium for business strategies Competitive games Noncompetitive games Practical application of game theory And lots more! No more procrastinating. Read this book!